Results for 'clinical data'

999 found
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  1.  95
    What Counts as “Clinical Data” in Machine Learning Healthcare Applications?Joshua August Skorburg - 2020 - American Journal of Bioethics 20 (11):27-30.
    Peer commentary on Char, Abràmoff & Feudtner (2020) target article: "Identifying Ethical Considerations for Machine Learning Healthcare Applications" .
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  2.  72
    Clinical Data Wrangling Using Ontological Realism and Referent Tracking.Werner Ceusters, Chiun Yu Hsu & Barry Smith - 2014 - In Proceedings of the Fifth International Conference on Biomedical Ontology (ICBO), Houston, 2014, (CEUR, 1327). pp. 27-32.
    Ontological realism aims at the development of high quality ontologies that faithfully represent what is general in reality and to use these ontologies to render heterogeneous data collections comparable. To achieve this second goal for clinical research datasets presupposes not merely (1) that the requisite ontologies already exist, but also (2) that the datasets in question are faithful to reality in the dual sense that (a) they denote only particulars and relationships between particulars that do in fact exist (...)
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  3.  16
    Clinical Applications of Machine Learning Algorithms: Beyond the Black Box.David S. Watson, Jenny Krutzinna, Ian N. Bruce, Christopher E. M. Griffiths, Iain B. McInnes, Michael R. Barnes & Luciano Floridi - 2019 - British Medical Journal 364:I886.
    Machine learning algorithms may radically improve our ability to diagnose and treat disease. For moral, legal, and scientific reasons, it is essential that doctors and patients be able to understand and explain the predictions of these models. Scalable, customisable, and ethical solutions can be achieved by working together with relevant stakeholders, including patients, data scientists, and policy makers.
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  4. ImmPort, Toward Repurposing of Open Access Immunological Assay Data for Translational and Clinical Research.Sanchita Bhattacharya, Patrick Dunn, Cristel Thomas, Barry Smith, Henry Schaefer, Jieming Chen, Zicheng Hu, Kelly Zalocusky, Ravi Shankar & Shai Shen-Orr - 2018 - Scientific Data 5:180015.
    Immunology researchers are beginning to explore the possibilities of reproducibility, reuse and secondary analyses of immunology data. Open-access datasets are being applied in the validation of the methods used in the original studies, leveraging studies for meta-analysis, or generating new hypotheses. To promote these goals, the ImmPort data repository was created for the broader research community to explore the wide spectrum of clinical and basic research data and associated findings. The ImmPort ecosystem consists of four components–Private (...)
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  5.  27
    Theory of Signs and Statistical Approach to Big Data in Assessing the Relevance of Clinical Biomarkers of Inflammation and Oxidative Stress.Pietro Ghezzi, Kevin Davies, Aidan Delaney & Luciano Floridi - 2018 - Proceedings of the National Academy of Sciences of the United States of America 115 (10):2473-2477.
    Biomarkers are widely used not only as prognostic or diagnostic indicators, or as surrogate markers of disease in clinical trials, but also to formulate theories of pathogenesis. We identify two problems in the use of biomarkers in mechanistic studies. The first problem arises in the case of multifactorial diseases, where different combinations of multiple causes result in patient heterogeneity. The second problem arises when a pathogenic mediator is difficult to measure. This is the case of the oxidative stress (OS) (...)
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  6. Precision Medicine and Big Data: The Application of an Ethics Framework for Big Data in Health and Research.G. Owen Schaefer, E. Shyong Tai & Shirley Sun - 2019 - Asian Bioethics Review 11 (3):275-288.
    As opposed to a ‘one size fits all’ approach, precision medicine uses relevant biological, medical, behavioural and environmental information about a person to further personalize their healthcare. This could mean better prediction of someone’s disease risk and more effective diagnosis and treatment if they have a condition. Big data allows for far more precision and tailoring than was ever before possible by linking together diverse datasets to reveal hitherto-unknown correlations and causal pathways. But it also raises ethical issues relating (...)
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  7. Preliminary Data On a Relation Between Self-Talk and Complexity of the Self-Concept '.Alain Morin - 1995 - Psychological Reports 76:267-272.
    Summary.— Recent empirical work in social cognition suggests that in building a self-concept people make inferences about themselves based on overt behavior or private thoughts and feelings. This article addresses the question of how, exactly, people make these inferences about themselves and raises the possibility that they do so through self-talk. It is proposed that the more on talks to oneself to construct a selfimage, the more this image will gain coherence and sophistication. A correlational study was conducted to explore (...)
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  8. Data and Safety Monitoring Board and the Ratio Decidendi of the Trial.Roger Stanev - 2015 - Journal of Philosophy, Science and Law 15:1-26.
    Decision-making by a Data and Safety Monitoring Board (DSMB) regarding clinical trial conduct and termination is intricate and largely limited by cases and rules. Decision-making by legal jury is also intricate and largely constrained by cases and rules. In this paper, I argue by analogy that legal decision-making, which strives for a balance between competing demands of conservatism and innovation, supplies a good basis to the logic behind DSMB decision-making. Using the doctrine of precedents in legal reasoning as (...)
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  9.  86
    Big Data.Nicolae Sfetcu - 2019 - Drobeta Turnu Severin: MultiMedia Publishing.
    Odată cu creșterea volumului de date pe Internet, în media socială, cloud computing, dispozitive mobile și date guvernamentale, Big Data devine în același timp o amenințare și o oportunitate în ceea ce privește gestionarea și utilizarea acestor date, menținând în același timp drepturile persoanelor implicate. În fiecare zi, folosim și generăm tone de date, alimentând bazele de date ale agențiilor guvernamentale, companiilor private și chiar cetățenilor privați. Beneficiem în multe feluri de existența și utilizarea Big Data, dar trebuie (...)
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  10. Establishing and Harmonizing Ontologies in an Interdisciplinary Health Care and Clinical Research Environment.Barry Smith & Mathias Brochhausen - 2008 - Studies in Health, Technology and Informatics 134:219-234.
    Ontologies are being ever more commonly used in biomedical informatics and we provide a survey of some of these uses, and of the relations between ontologies and other terminology resources. In order for ontologies to become truly useful, two objectives must be met. First, ways must be found for the transparent evaluation of ontologies. Second, existing ontologies need to be harmonised. We argue that one key foundation for both ontology evaluation and harmonisation is the adoption of a realist paradigm in (...)
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  11.  80
    Enhancing GO for the Sake of Clinical Bioinformatics.Anand Kumar & Barry Smith - 2004 - Proceedings of the Bio-Ontologies Workshop , Glasgow 133.
    Recent work on the quality assurance of the Gene Ontology (GO, Gene Ontology Consortium 2004) from the perspective of both linguistic and ontological organization has made it clear that GO lacks the kind of formalism needed to support logic-based reasoning. At the same time it is no less clear that GO has proven itself to be an excellent terminological resource that can serve to combine together a variety of biomedical database and information systems. Given the strengths of GO, it is (...)
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  12. Medical Privacy and Big Data: A Further Reason in Favour of Public Universal Healthcare Coverage.Carissa Véliz - 2019 - In T. C. de Campos, J. Herring & A. M. Phillips (eds.), Philosophical Foundations of Medical Law. Oxford, U.K.: Oxford University Press. pp. 306-318.
    Most people are completely oblivious to the danger that their medical data undergoes as soon as it goes out into the burgeoning world of big data. Medical data is financially valuable, and your sensitive data may be shared or sold by doctors, hospitals, clinical laboratories, and pharmacies—without your knowledge or consent. Medical data can also be found in your browsing history, the smartphone applications you use, data from wearables, your shopping list, and more. (...)
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  13.  34
    CTO: A Community-Based Clinical Trial Ontology and Its Applications in PubChemRDF and SCAIViewH.Asiyah Yu Lin, Stephan Gebel, Qingliang Leon Li, Sumit Madan, Johannes Darms, Evan Bolton, Barry Smith, Martin Hofmann-Apitius, Yongqun Oliver He & Alpha Tom Kodamullil - 2021 - Proceedings of the 11th International Conference on Biomedical Ontologies (ICBO) and 10th Workshop on Ontologies and Data in Life Sciences (ODLS).
    Driven by the use cases of PubChemRDF and SCAIView, we have developed a first community-based clinical trial ontology (CTO) by following the OBO Foundry principles. CTO uses the Basic Formal Ontology (BFO) as the top level ontology and reuses many terms from existing ontologies. CTO has also defined many clinical trial-specific terms. The general CTO design pattern is based on the PICO framework together with two applications. First, the PubChemRDF use case demonstrates how a drug Gleevec is linked (...)
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  14.  74
    Proposing a Clinical Quantification Framework of Macro-Linguistic Structures in Aphasic Narratives.Reres Adam, Kong Anthony Pak Hin & Whiteside Janet D. - 2014 - Frontiers in Psychology 5.
    Background Analysis of aphasic narratives can be a challenge for clinicians. Previous studies have mainly employed measures that categorized speech samples at the word level. They included quantification of the use and misuse of different word classes, presence and absence of narrative contents and errors, paraphasias, and perseverations, as well as morphological structures and errors within a narrative. In other words, a great amount of research has been conducted in the aphasiology literature focusing on micro-linguistic structures of oral narratives. Aspects (...)
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  15.  81
    A Unified Framework for Building Ontological Theories with Application and Testing in the Field of Clinical Trials.Heller Barbara, Herre Heinrich & Barry Smith - 2001 - In IFOMIS Reports. Leipzig: University of Leipzig.
    The objective of this research programme is to contribute to the establishment of the emerging science of Formal Ontology in Information Systems via a collaborative project involving researchers from a range of disciplines including philosophy, logic, computer science, linguistics, and the medical sciences. The re­searchers will work together on the construction of a unified formal ontology, which means: a general framework for the construction of ontological theories in specific domains. The framework will be constructed using the axiomatic-deductive method of modern (...)
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  16.  1
    Undersampling Aware Learning Based Fetal Health Prediction Using Cardiotocographic Data.M. Shyamala Devi - 2021 - Turkish Online Journal of Qualitative Inquiry (TOJQI) 12 (6):7730-7749.
    With the current improvement of development towards pharmaceutical, distinctive ultrasound methodologies are open to find the fetal prosperity. It is analyzed with diverse clinical parameters with 2-D imaging and other test. In any case, prosperity desire of fetal heart still remains an open issue due to unconstrained works out of the hatchling, the minor heart appraise and inadequate of data in fetal echocardiography. The machine learning strategies can find out the classes of fetal heart rate which can beutilized (...)
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  17. The Effectiveness of a Website to Improve the Effectiveness of Time Management for Employees in the Beauty Dental Clinic.Amal A. Al Hila, Mazen J. Al Shobaki & Samy S. Abu-Naser - 2018 - International Journal of Academic Information Systems Research (IJAISR) 2 (5):23-52.
    The objective of the study is to identify the effectiveness of a website in improving the time management of the staff at the Beauty Clinic for Dental. The researchers used the questionnaire method to collect data. The researchers used the random stratified sample method, and 30 questionnaires were distributed on the study sample. The Census method was used because of the small size of the study population. The recovery rate was 100%. The study found that the design of the (...)
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  18. Modeling the Invention of a New Inference Rule: The Case of ‘Randomized Clinical Trial’ as an Argument Scheme for Medical Science.Jodi Schneider & Sally Jackson - 2018 - Argument and Computation 9 (2):77-89.
    A background assumption of this paper is that the repertoire of inference schemes available to humanity is not fixed, but subject to change as new schemes are invented or refined and as old ones are obsolesced or abandoned. This is particularly visible in areas like health and environmental sciences, where enormous societal investment has been made in finding ways to reach more dependable conclusions. Computational modeling of argumentation, at least for the discourse in expert fields, will require the possibility of (...)
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  19. The Ontology of Biological and Clinical Statistics (OBCS) for Standardized and Reproducible Statistical Analysis.Jie Zheng, Marcelline R. Harris, Anna Maria Masci, Lin Yu, Alfred Hero, Barry Smith & Yongqun He - 2016 - Journal of Biomedical Semantics 7 (53).
    Statistics play a critical role in biological and clinical research. However, most reports of scientific results in the published literature make it difficult for the reader to reproduce the statistical analyses performed in achieving those results because they provide inadequate documentation of the statistical tests and algorithms applied. The Ontology of Biological and Clinical Statistics (OBCS) is put forward here as a step towards solving this problem. Terms in OBCS, including ‘data collection’, ‘data transformation in statistics’, (...)
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  20.  59
    The Ethics of Anti-Aging Clinical Trials.Parker Crutchfield - 2018 - Science and Engineering Ethics 24 (2):441-453.
    Interventions aiming to slow, stop, or reverse the aging process are starting to enter clinical trials. Though this line of research is nascent, it has the potential to not only prevent prolonged human suffering, but also to extend human well-being. As this line of research develops, it is important to understand the ethical constraints of conducting such research. This paper discusses some of these constraints. In particular, it discusses the ethical difficulties of conducting this research in a way that (...)
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  21. Diagnostic Criteria for Temporomandibular Disorders (DC/TMD) for Clinical and Research Applications.Eric Schiffman, Richard Ohrbach, E. Truelove, Edmond Truelove, John Look, Gary Anderson, Werner Ceusters, Barry Smith & Others - 2014 - Journal of Oral and Facial Pain and Headache 28 (1):6-27.
    Aims: The Research Diagnostic Criteria for Temporomandi¬bular Disorders (RDC/TMD) Axis I diagnostic algorithms were demonstrated to be reliable but below target sensitivity and specificity. Empirical data supported Axis I algorithm revisions that were valid. Axis II instruments were shown to be both reliable and valid. An international consensus workshop was convened to obtain recommendations and finalization of new Axis I diagnostic algorithms and new Axis II instruments. Methods: A comprehensive search of published TMD diagnostic literature was followed by review (...)
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  22.  85
    Eye-Contact and Complex Dynamic Systems: An Hypothesis on Autism's Direct Cause and a Clinical Study Addressing Prevention.Maxson J. McDowell - manuscript
    Estimates of autism’s incidence increased 5-10 fold in ten years, an increase which cannot be genetic. Though many mutations are associated with autism, no mutation seems directly to cause autism. We need to find the direct cause. Complexity science provides a new paradigm - confirmed in biology by extensive hard data. Both the body and the personality are complex dynamic systems which spontaneously self-organize from simple dynamic systems. Autism may therefore be caused by the failure of a simple dynamic (...)
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  23. Management and Results of Ectopic Pregnancy Adapted by Clinical Guidelines: Two Years Experience of University Hospital in Turkey.Serpil Aydogmus - 2014 - Open Journal of Obstetrics and Gynecology 4 (13):766-770.
    Ectopic pregnancy is defined as the fertilized ovum implants in a location outside the endometrial cavity, remains to be an important cause of maternal morbidity and mortality worldwide and is a health problem with incidence ranges between 0.25% and 2% of all pregnancies. In our study, in Izmir Katip Celebi University Ataturk Training and Research Hospital, Department of Obstetrics and Gynecology from 2011 to 2013, 96 cases with diagnosis of ectopic pregnancy managed by the adapted RCOG’s Guide were analyzed retrospectively. (...)
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  24. Vital Sign Ontology.Albert Goldfain, Barry Smith, Sivaram Arabandi, Mathias Brochhausen & William R. Hogan - 2011 - In Proceedings of the Workshop on Bio-Ontologies, ISMB, Vienna, June 2011. Vienna: pp. 71-74.
    We introduce the Vital Sign Ontology (VSO), an extension of the Ontology for General Medical Science (OGMS) that covers the consensus human vital signs: blood pressure, body temperature, respiratory rate, and pulse rate. VSO provides a controlled structured vocabulary for describing vital sign measurement data, the processes of measuring vital signs, and the anatomical entities participating in such measurements. VSO is implemented in OWL-DL and follows OBO Foundry guidelines and best practices. If properly developed and extended, we believe the (...)
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  25.  77
    Evolving Efficient Classification Patterns in Lymphography Using EasyNN.Ahmed Suhail Jaber, Ahmed Khalil Humid, Mohammed Ahmed Hussein & Samy S. Abu-Naser - 2020 - International Journal of Academic Information Systems Research (IJAISR) 4 (9):66-73.
    A neural network exploits the non-linearity of a problem to define a set of desired inputs. Neural networks are important in realizing a better way for classification in machine learning and finds application in various fields such as data mining, pattern recognition, forensics etc. In this paper, our focus is to classify of patient records obtained from clinical data. Feature selection is a supervised method that attempts to select a subset of the predictor features based on the (...)
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  26.  68
    Ontology as the Core Discipline of Biomedical Informatics: Legacies of the Past and Recommendations for the Future Direction of Research.Barry Smith & Werner Ceusters - 2007 - In Gordana Dodig Crnkovic & Susan Stuart (eds.), Computation, Information, Cognition: The Nexus and the Liminal. Cambridge Scholars Publishing. pp. 104-122.
    The automatic integration of rapidly expanding information resources in the life sciences is one of the most challenging goals facing biomedical research today. Controlled vocabularies, terminologies, and coding systems play an important role in realizing this goal, by making it possible to draw together information from heterogeneous sources – for example pertaining to genes and proteins, drugs and diseases – secure in the knowledge that the same terms will also represent the same entities on all occasions of use. In the (...)
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  27.  95
    Constructing a Lattice of Infectious Disease Ontologies From a Staphylococcus Aureus Isolate Repository.Albert Goldfain, Lindsay G. Cowell & Barry Smith - 2012 - In Proceeedings of the Third International Conference on Biomedical Ontology (CEUR 897).
    A repository of clinically associated Staphylococcus aureus (Sa) isolates is used to semi‐automatically generate a set of application ontologies for specific subfamilies of Sa‐related disease. Each such application ontology is compatible with the Infectious Disease Ontology (IDO) and uses resources from the Open Biomedical Ontology (OBO) Foundry. The set of application ontologies forms a lattice structure beneath the IDO‐Core and IDO‐extension reference ontologies. We show how this lattice can be used to define a strategy for the construction of a new (...)
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  28.  26
    Key ethical challenges in the European Medical Information Framework.Luciano Floridi, Christoph Luetge, Ugo Pagallo, Burkhard Schafer, Peggy Valcke, Effy Vayena, Janet Addison, Nigel Hughes, Nathan Lea, Caroline Sage, Bart Vannieuwenhuyse & Dipak Kalra - 2019 - Minds and Machines 29 (3):355-371.
    The European Medical Information Framework project, funded through the IMI programme, has designed and implemented a federated platform to connect health data from a variety of sources across Europe, to facilitate large scale clinical and life sciences research. It enables approved users to analyse securely multiple, diverse, data via a single portal, thereby mediating research opportunities across a large quantity of research data. EMIF developed a code of practice to ensure the privacy protection of data (...)
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  29.  95
    Between “Research” and “Innovative Therapy”: An Unsettled Moral Dilemma in the Muizelaar Case.Norman Swazo - manuscript
    Introduction In 2013, Dr. J. Muizelaar and Dr. R. Schrot, two neurosurgeons at the University of California Davis Medical Center (UCDMC), were found guilty of research misconduct due to failure to comply with institutional policies as well as Food and Drug Administration (FDA) regulations governing human subjects research. At issue here, however, is the difference between research and innovative therapy in the clinical setting of patient care where clinical judgment is reasonably to be privileged. Methods The UCDMC investigative (...)
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  30.  34
    Exploring Machine Learning Techniques for Coronary Heart Disease Prediction.Hisham Khdair - 2021 - International Journal of Advanced Computer Science and Applications 12 (5):28-36.
    Coronary Heart Disease (CHD) is one of the leading causes of death nowadays. Prediction of the disease at an early stage is crucial for many health care providers to protect their patients and save lives and costly hospitalization resources. The use of machine learning in the prediction of serious disease events using routine medical records has been successful in recent years. In this paper, a comparative analysis of different machine learning techniques that can accurately predict the occurrence of CHD events (...)
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  31. Brain in the Shell. Assessing the Stakes and the Transformative Potential of the Human Brain Project.Philipp Haueis & Jan Slaby - 2015 - In Neuroscience and Critique. London: pp. 117–140.
    The “Human Brain Project” (HBP) is a large-scale European neuroscience and information communication technology (ICT) project that has been a matter of heated controversy since its inception. With its aim to simulate the entire human brain with the help of supercomputing technologies, the HBP plans to fundamentally change neuroscientific research practice, medical diagnosis, and eventually the use of computers itself. Its controversial nature and its potential impacts render the HBP a subject of crucial importance for critical studies of science and (...)
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  32. The Development of Non-Coding RNA Ontology.Jingshan Huang, Karen Eilbeck, Barry Smith, Judith Blake, Deijing Dou, Weili Huang, Darren Natale, Alan Ruttenberg, Jun Huan, Michael Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Harrison Strachan, Nisansa de Silva & Mohan Vamsi Kasukurthi - 2016 - International Journal of Data Mining and Bioinformatics 15 (3):214--232.
    Identification of non-coding RNAs (ncRNAs) has been significantly improved over the past decade. On the other hand, semantic annotation of ncRNA data is facing critical challenges due to the lack of a comprehensive ontology to serve as common data elements and data exchange standards in the field. We developed the Non-Coding RNA Ontology (NCRO) to handle this situation. By providing a formally defined ncRNA controlled vocabulary, the NCRO aims to fill a specific and highly needed niche in (...)
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  33. The Role of Ontologies for Sustainable, Semantically Interoperable and Trustworthy EHR Solutions.Bernd Blobel, Dipak Kalra, Marc Koehn, Ken Lunn, Peter Pharow, Pekka Ruotsalainen, Stefan Schulz & Barry Smith - 2009 - Studies in Health Technology and Informatics 150:953-957.
    As health systems around the world turn towards highly distributed, specialized and cooperative structures to increase quality and safety of care as well as efficiency and efficacy of delivery processes, there is a growing need for supporting communication and collaboration of all parties involved with advanced ICT solutions. The Electronic Health Record (EHR) provides the information platform which is maturing towards the eHealth core application. To meet the requirements for sustainable, semantically interoperable, and trustworthy EHR solutions, different standards and different (...)
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  34. Applications of the ACGT Master Ontology on Cancer.Mathias Brochhausen, Gabriele Weiler, Luis Martín, Cristian Cocos, Holger Stenzhorn, Norbert Graf, Martin Dörr, Manolis Tsiknakis & Barry Smith - 2008 - In R. Meersman & P. Herrero (eds.), Proceedings of 4th International IFIP Workshop On Semantic Web and Web Semantics (OTM 2008: Workshops), LNCS 5333. pp. 1046–1055.
    In this paper we present applications of the ACGT Master Ontology (MO) which is a new terminology resource for a transnational network providing data exchange in oncology, emphasizing the integration of both clinical and molecular data. The development of a new ontology was necessary due to problems with existing biomedical ontologies in oncology. The ACGT MO is a test case for the application of best practices in ontology development. This paper provides an overview of the application of (...)
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  35.  28
    Principals’ Supervisory Techniques for Combating Corruption and the Attainment of Quality School Governance in Public Secondary Schools in Aba Education Zone of Abia State, Nigeria.Esther Chijioke Madukwe, Blessing Iheoma Nwannunu & Valentine Joseph Owan - 2019 - International Journal of Educational Benchmark 13 (2):113-123.
    The study investigated principals’ supervisory techniques for combating corruption and the attainment of quality school governance. Two null hypotheses were formulated. The ex-post facto research design was adopted for the study. Census technique was used to draw the entire population of 81 principals from all the public secondary schools in Aba Education Zone of Abia State. Data collection was carried out with the use of a research instrument titled: “Principals’ Supervisory Techniques for Combating Corruption and Attainment of Quality School (...)
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  36. The National Center for Biomedical Ontology.Mark A. Musen, Natalya F. Noy, Nigam H. Shah, Patricia L. Whetzel, Christopher G. Chute, Margaret-Anne Story & Barry Smith - 2012 - Journal of the American Medical Informatics Association 19 (2):190-195.
    The National Center for Biomedical Ontology is now in its seventh year. The goals of this National Center for Biomedical Computing are to: create and maintain a repository of biomedical ontologies and terminologies; build tools and web services to enable the use of ontologies and terminologies in clinical and translational research; educate their trainees and the scientific community broadly about biomedical ontology and ontology-based technology and best practices; and collaborate with a variety of groups who develop and use ontologies (...)
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  37. Phenomenal Qualities and the Development of Perceptual Integration.Mariann Hudak, Zoltan Jakab & Ilona Kovacs - 2013 - In Liliana Albertazzi (ed.), The Wiley-Blackwell Handbook of Experimental Phenomenology; Visual Perception of Shape, Space and Appearance. Wiley-Blackwell.
    In this chapter, data concerning the development of principal aspects of vision is reviewed. First, the development of colour vision and luminance perception is discussed. Relevant data accumulated so far indicates that perception of colour and luminance is present by 6-9 months of age. The presence of typical color illusions at this age suggests that the phenomenal character of color experience is comparable to that of adults well before the first birthday. Thus it seems plausible that color perception (...)
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  38. Digital Psychiatry: Ethical Risks and Opportunities for Public Health and Well-Being.Christopher Burr, Jessica Morley, Mariarosaria Taddeo & Luciano Floridi - 2020 - IEEE Transactions on Technology and Society 1 (1):21-33.
    Common mental health disorders are rising globally, creating a strain on public healthcare systems. This has led to a renewed interest in the role that digital technologies may have for improving mental health outcomes. One result of this interest is the development and use of artificial intelligence for assessing, diagnosing, and treating mental health issues, which we refer to as ‘digital psychiatry’. This article focuses on the increasing use of digital psychiatry outside of clinical settings, in the following sectors: (...)
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  39.  30
    Shared Decision‐Making and Maternity Care in the Deep Learning Age: Acknowledging and Overcoming Inherited Defeaters.Keith Begley, Cecily Begley & Valerie Smith - 2021 - Journal of Evaluation in Clinical Practice 27 (3):497–503.
    In recent years there has been an explosion of interest in Artificial Intelligence (AI) both in health care and academic philosophy. This has been due mainly to the rise of effective machine learning and deep learning algorithms, together with increases in data collection and processing power, which have made rapid progress in many areas. However, use of this technology has brought with it philosophical issues and practical problems, in particular, epistemic and ethical. In this paper the authors, with backgrounds (...)
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  40. SNOMED CT Standard Ontology Based on the Ontology for General Medical Science.Shaker El-Sappagh, Francesco Franda, Ali Farman & Kyung-Sup Kwak - 2018 - BMC Medical Informatics and Decision Making 76 (18):1-19.
    Background: Systematized Nomenclature of Medicine—Clinical Terms (SNOMED CT, hereafter abbreviated SCT) is acomprehensive medical terminology used for standardizing the storage, retrieval, and exchange of electronic healthdata. Some efforts have been made to capture the contents of SCT as Web Ontology Language (OWL), but theseefforts have been hampered by the size and complexity of SCT. Method: Our proposal here is to develop an upper-level ontology and to use it as the basis for defining the termsin SCT in a way that (...)
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  41. The National Center for Biomedical Ontology: Advancing Biomedicine Through Structured Organization of Scientific Knowledge. Rubin - 2012 - Journal of the American Medical Informatics Association 19 (2):190-195.
    The National Center for Biomedical Ontology is now in its seventh year. The goals of this National Center for Biomedical Computing are to: create and maintain a repository of biomedical ontologies and terminologies; build tools and web services to enable the use of ontologies and terminologies in clinical and translational research; educate their trainees and the scientific community broadly about biomedical ontology and ontology-based technology and best practices; and collaborate with a variety of groups who develop and use ontologies (...)
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  42. Strategies for Referent Tracking in Electronic Health Records.Werner Ceusters & Barry Smith - 2006 - Journal of Biomedical Informatics 39 (3):362-378.
    The goal of referent tracking is to create an ever-growing pool of data relating to the entities existing in concrete spatiotemporal reality. In the context of Electronic Healthcare Records (EHRs) the relevant concrete entities are not only particular patients but also their parts, diseases, therapies, lesions, and so forth, insofar as these are salient to diagnosis and treatment. Within a referent tracking system, all such entities are referred to directly and explicitly, something which cannot be achieved when familiar concept-based (...)
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  43. Infectious Disease Ontology.Lindsay Grey Cowell & Barry Smith - 2009 - In Infectious Disease Informatics. New York: Springer New York. pp. 373-395.
    Technological developments have resulted in tremendous increases in the volume and diversity of the data and information that must be processed in the course of biomedical and clinical research and practice. Researchers are at the same time under ever greater pressure to share data and to take steps to ensure that data resources are interoperable. The use of ontologies to annotate data has proven successful in supporting these goals and in providing new possibilities for the (...)
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  44. Emotion Regulation in Psychopathy.Helen Casey, Robert D. Rogers, Tom Burns & Jenny Yiend - 2013 - Biological Psychology 92:541–548.
    Emotion processing is known to be impaired in psychopathy, but less is known about the cognitive mechanisms that drive this. Our study examined experiencing and suppression of emotion processing in psychopathy. Participants, violent offenders with varying levels of psychopathy, viewed positive and negative images under conditions of passive viewing, experiencing and suppressing. Higher scoring psychopathics were more cardiovascularly responsive when processing negative information than positive, possibly reflecting an anomalously rewarding aspect of processing normally unpleasant material. When required to experience emotional (...)
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  45. OAE: The Ontology of Adverse Events.Yongqun He, Sirarat Sarntivijai, Yu Lin, Zuoshuang Xiang, Abra Guo, Shelley Zhang, Desikan Jagannathan, Luca Toldo, Cui Tao & Barry Smith - 2014 - Journal of Biomedical Semantics 5 (29):1-13.
    A medical intervention is a medical procedure or application intended to relieve or prevent illness or injury. Examples of medical interventions include vaccination and drug administration. After a medical intervention, adverse events (AEs) may occur which lie outside the intended consequences of the intervention. The representation and analysis of AEs are critical to the improvement of public health. Description: The Ontology of Adverse Events (OAE), previously named Adverse Event Ontology (AEO), is a community-driven ontology developed to standardize and integrate (...) relating to AEs arising subsequent to medical interventions, as well as to support computer-assisted reasoning. OAE has over 3,000 terms with unique identifiers, including terms imported from existing ontologies and more than 1,800 OAE-specific terms. In OAE, the term ‘adverse event’ denotes a pathological bodily process in a patient that occurs after a medical intervention. Causal adverse events are defined by OAE as those events that are causal consequences of a medical intervention. OAE represents various adverse events based on patient anatomic regions and clinical outcomes, including symptoms, signs, and abnormal processes. OAE has been used in the analysis of several different sorts of vaccine and drug adverse event data. (shrink)
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  46. ARGOS Policy Brief on Semantic Interoperability.Dipak Kalra, Mark Musen, Barry Smith & Werner Ceusters - 2011 - Studies in Health Technology and Informatics 170 (1):1-15.
    Semantic interoperability requires the use of standards, not only for Electronic Health Record (EHR) data to be transferred and structurally mapped into a receiving repository, but also for the clinical content of the EHR to be interpreted in conformity with the original meanings intended by its authors. Accurate and complete clinical documentation, faithful to the patient’s situation, and interoperability between systems, require widespread and dependable access to published and maintained collections of coherent and quality-assured semantic resources, including (...)
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  47. OntONeo: The Obstetric and Neonatal Ontology.Fernanda Farinelli, Mauricio Almeida, Peter Elkin & Barry Smith - 2016 - In Dealing with elements of medical encounters: An approach based on ontological realism. Aachen: CEUR, vol. 1747.
    This paper presents the Obstetric and Neonatal Ontology (OntONeo). This ontology has been created to provide a consensus representation of salient electronic health record (EHR) data and to serve interoperability of the associated data and information systems. More generally, it will serve interoperability of clinical and translational data, for example deriving from genomics disciplines and from clinical trials. Interoperability of EHR data is important to ensuring continuity of care during the prenatal and postnatal periods (...)
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  48. Publication Ethics in Biomedical Journals From Countries in Central and Eastern Europe.Mindaugas Broga, Goran Mijaljica, Marcin Waligora, Aime Keis & Ana Marusic - 2013 - Science and Engineering Ethics (1):1-11.
    Publication ethics is an important aspect of both the research and publication enterprises. It is particularly important in the field of biomedical science because published data may directly affect human health. In this article, we examine publication ethics policies in biomedical journals published in Central and Eastern Europe. We were interested in possible differences between East European countries that are members of the European Union (Eastern EU) and South-East European countries (South-East Europe) that are not members of the European (...)
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  49. Accessing New Understandings of Trauma-Informed Care with Queer Birthing Women in a Rural Context.Jennifer Searle, Lisa Goldberg, Megan Aston & Sylvia Burrow - 2017 - Journal of Clinical Nursing 26 (21-22):3576-3587.
    Aims and objectives. Participant narratives from a feminist and queer phe- nomenological study aim to broaden current understandings of trauma. Examin- ing structural marginalisation within perinatal care relationships provides insights into the impact of dominant models of care on queer birthing women. More specifically, validation of queer experience as a key finding from the study offers trauma-informed strategies that reconstruct formerly disempowering perinatal relationships. Background. Heteronormativity governs birthing spaces and presents considerable challenges for queer birthing women who may also have (...)
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  50.  77
    A Unified Framework for Biomedical Terminologies and Ontologies.Werner Ceusters & Barry Smith - 2010 - Studies in Health Technology and Informatics 160:1050-1054.
    The goal of the OBO (Open Biomedical Ontologies) Foundry initiative is to create and maintain an evolving collection of non-overlapping interoperable ontologies that will offer unambiguous representations of the types of entities in biological and biomedical reality. These ontologies are designed to serve non-redundant annotation of data and scientific text. To achieve these ends, the Foundry imposes strict requirements upon the ontologies eligible for inclusion. While these requirements are not met by most existing biomedical terminologies, the latter may nonetheless (...)
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