Results for 'effective disease'

962 found
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  1. Moderator Effect of Chronic Disease on The Relationship Between Marriage Adjustment and Satisfaction in Married Couples.Feyza İnceoğlu & Esra Porgalı Zayman - 2023 - European Journal of Therapeutics 29 (3):459-468.
    Objective: The purpose of our study is to show how the relationship between marital adjustment and satisfaction will change in cases of chronic disease in either or both spouses of married couples using a multivariate statistical analysis method. -/- Methods: Marriage adjustment ve marriage satisfaction scales were used. A structural equation modeling - multiple group analysis method was used in the study, which was designed as a relational screening model. -/- Results: In the study, which included 898 participants, 56.6% (...)
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  2. Rare diseases in healthcare priority setting: should rarity matter?Andreas Albertsen - 2022 - Journal of Medical Ethics 48 (9):624-628.
    Rare diseases pose a particular priority setting problem. The UK gives rare diseases special priority in healthcare priority setting. Effectively, the National Health Service is willing to pay much more to gain a quality-adjusted life-year related to a very rare disease than one related to a more common condition. But should rare diseases receive priority in the allocation of scarce healthcare resources? This article develops and evaluates four arguments in favour of such a priority. These pertain to public values, (...)
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  3. Effectiveness of medical interventions.Jacob Stegenga - 2015 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 54:34-44.
    To be effective, a medical intervention must improve one's health by targeting a disease. The concept of disease, though, is controversial. Among the leading accounts of disease-naturalism, normativism, hybridism, and eliminativism-I defend a version of hybridism. A hybrid account of disease holds that for a state to be a disease that state must both (i) have a constitutive causal basis and (ii) cause harm. The dual requirement of hybridism entails that a medical intervention, to (...)
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  4.  43
    OPTIMIZED CARDIOVASCULAR DISEASE PREDICTION USING MACHINE LEARNING ALGORITHMS.S. Yoheswari - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):350-359.
    Cardiovascular diseases (CVD) represent a significant cause of morbidity and mortality worldwide, necessitating early detection for effective intervention. This research explores the application of machine learning (ML) algorithms in predicting cardiovascular diseases with enhanced accuracy by integrating optimization techniques. By leveraging data-driven approaches, ML models can analyze vast datasets, identifying patterns and risk factors that traditional methods might overlook. This study focuses on implementing various ML algorithms, such as Decision Trees, Random Forest, Support Vector Machines, and Neural Networks, optimized (...)
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  5. Predicting Heart Disease using Neural Networks.Ahmed Muhammad Haider Al-Sharif & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (9):40-46.
    Cardiovascular diseases, including heart disease, pose a significant global health challenge, contributing to a substantial burden on healthcare systems and individuals. Early detection and accurate prediction of heart disease are crucial for timely intervention and improved patient outcomes. This research explores the potential of neural networks in predicting heart disease using a dataset collected from Kaggle, consisting of 1025 samples with 14 distinct features. The study's primary objective is to develop an effective neural network model for (...)
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  6. Evolution, Dysfunction, and Disease: A Reappraisal.Paul E. Griffiths & John Matthewson - 2018 - British Journal for the Philosophy of Science 69 (2):301-327.
    Some ‘naturalist’ accounts of disease employ a biostatistical account of dysfunction, whilst others use a ‘selected effect’ account. Several recent authors have argued that the biostatistical account offers the best hope for a naturalist account of disease. We show that the selected effect account survives the criticisms levelled by these authors relatively unscathed, and has significant advantages over the BST. Moreover, unlike the BST, it has a strong theoretical rationale and can provide substantive reasons to decide difficult cases. (...)
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  7. Measuring effectiveness.Jacob Stegenga - 2015 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 54:62-71.
    Measuring the effectiveness of medical interventions faces three epistemological challenges: the choice of good measuring instruments, the use of appropriate analytic measures, and the use of a reliable method of extrapolating measures from an experimental context to a more general context. In practice each of these challenges contributes to overestimating the effectiveness of medical interventions. These challenges suggest the need for corrective normative principles. The instruments employed in clinical research should measure patient-relevant and disease-specific parameters, and should not be (...)
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  8. Disease, Normality, and Current Pharmacological Moral Modification.Neil Levy, Thomas Douglas, Guy Kahane, Sylvia Terbeck, Philip J. Cowen, Miles Hewstone & Julian Savulescu - 2014 - Philosophy, Psychiatry, and Psychology 21 (2):135-137.
    Response to commentary. We are grateful to Crockett and Craigie for their interesting remarks on our paper. We accept Crockett’s claim that there is a need for caution in drawing inferences about patient groups from work on healthy volunteers in the laboratory. However, we believe that the evidence we cited established a strong presumption that many of the patients who are routinely taking a medication, including many people properly prescribed the medication for a medical condition, have morally significant aspects of (...)
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  9. 2019 Novel Coronavirus Disease, Crisis, and Isolation.Dev Roychowdhury - 2020 - Frontiers in Psychology 11.
    The highly contagious 2019 novel coronavirus disease (COVID-19) outbreak has not only impacted health systems, economies, and governments, it has also rapidly grown into a global health crisis, which is now threatening the lives of millions of people globally. While, on one hand, medical institutions are critically attempting to find a cure, on the other hand, governments have introduced striking measures and policies to curtail the rapid spread of the disease. Although COVID-19 has achieved pandemic status and is (...)
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  10. Classification of Chicken Diseases Using Deep Learning.Mohammed Al Qatrawi & Samy S. Abu-Naser - 2024 - Information Journal of Academic Information Systems Research (Ijaisr) 8 (4):9-17.
    Abstract: In recent years, the outbreak of various poultry diseases has posed a significant threat to the global poultry industry. Therefore, the accurate and timely detection of chicken diseases is critical to reduce economic losses and prevent the spread of diseases. In this study, we propose a method for classifying chicken diseases using a convolutional neural network (CNN). The proposed method involves preprocessing the chicken images, building and training a CNN model, and evaluating the performance of the model. The dataset (...)
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  11. Coronavirus Disease (COVID-19): Socio-Economic Systems in the Post-Pandemic World: Design Thinking, Strategic Planning, Management, and Public Policy.Andrzej Klimczuk, Eva Berde, Delali A. Dovie, Magdalena Klimczuk-Kochańska & Gabriella Spinelli (eds.) - 2022 - Lausanne: Frontiers Media.
    On 11 March 2020, the World Health Organization declared a pandemic of the COVID-19 coronavirus disease that was first recognized in China in late 2019. Among the primary effects caused by the pandemic, there was the dissemination of health preventive measures such as physical distancing, travel restrictions, self-isolation, quarantines, and facility closures. This includes the global disruption of socio-economic systems including the postponement or cancellation of various public events (e.g., sporting, cultural, or religious), supply shortages and fears of the (...)
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  12. On the classification of diseases.Benjamin Smart - 2014 - Theoretical Medicine and Bioethics 35 (4):251-269.
    Identifying the necessary and sufficient conditions for individuating and classifying diseases is a matter of great importance in the fields of law, ethics, epidemiology, and of course, medicine. In this paper, I first propose a means of achieving this goal, ensuring that no two distinct disease-types could correctly be ascribed to the same disease-token. I then posit a metaphysical ontology of diseases—that is, I give an account of what a disease is. This is essential to providing the (...)
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  13. Tomato Leaf Diseases Classification using Deep Learning.Mohammed F. El-Habibi & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):73-80.
    Abstract: Tomatoes are among the most popular vegetables in the world due to their frequent use in many dishes, which fall into many varieties in common and traditional foods, and due to their rich ingredients such as vitamins and minerals, so they are frequently used on a daily basis, When we focus our attention on this vegetable, we must also focus and take into consideration the diseases that affect this vegetable, a deep learning model that classifies tomato diseases has been (...)
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  14. Diseases, patients and the epistemology of practice: mapping the borders of health, medicine and care.Michael Loughlin, Robyn Bluhm, Jonathan Fuller, Stephen Buetow, Benjamin R. Lewis & Brent M. Kious - 2015 - Journal of Evaluation in Clinical Practice 21 (3):357-364.
    Last year saw the 20th anniversary edition of JECP, and in the introduction to the philosophy section of that landmark edition, we posed the question: apart from ethics, what is the role of philosophy ‘at the bedside’? The purpose of this question was not to downplay the significance of ethics to clinical practice. Rather, we raised it as part of a broader argument to the effect that ethical questions – about what we should do in any given situation – are (...)
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  15.  39
    Effect of antimicrobial susceptibility testing on treating Libyan outpatients with a suspected bacterial infection.Abdallah A. Mahjoub - 2024 - Mediterranean Journal of Pharmacy and Pharmaceutical Sciences 4 (3):41-50.
    Clinical microbiology serves as a partner to clinicians in the diagnosis and treatment of infectious diseases. Antibiotics are prescribed empirically before the availability of antimicrobial susceptibility testing data, especially when the patient's medical status could deteriorate by suspending the treatment. To investigate the impact of antimicrobial susceptibility testing on the management of outpatients with suspected bacterial infection in Libyan patients, a cross-sectional prospective study concluded on microbial microdroplet culture by including outpatients with suspected bacterial infection, who have done antimicrobial susceptibility (...)
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  16.  39
    Innovative Approaches in Cardiovascular Disease Prediction Through Machine Learning Optimization.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):350-359.
    Cardiovascular diseases (CVD) represent a significant cause of morbidity and mortality worldwide, necessitating early detection for effective intervention. This research explores the application of machine learning (ML) algorithms in predicting cardiovascular diseases with enhanced accuracy by integrating optimization techniques. By leveraging data-driven approaches, ML models can analyze vast datasets, identifying patterns and risk factors that traditional methods might overlook. This study focuses on implementing various ML algorithms, such as Decision Trees, Random Forest, Support Vector Machines, and Neural Networks, optimized (...)
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  17.  61
    Neglected Tropical Diseases and Long-Term Captive Animals: Ethical Considerations with Venom Lab Snakes.Derek Halm - 2024 - Journal of Applied Animal Ethics Research 1.
    Venomous snakebite is a neglected tropical disease and disease of poverty, affecting hundreds of thousands of people annually. The only effective medical intervention for snakebite is antivenom, produced primarily using captive venomous snakes as a source of venom. This paper analyzes snakes’ welfare at venom labs within this global health context. I recommend significant changes to improve the welfare of captive snakes, particularly in light of recent ethological research and attention on snakes. These recommendations are broadly consequentialist, (...)
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  18. Classification of Apple Diseases Using Deep Learning.Ola I. A. Lafi & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):1-9.
    Abstract: In this study, we explore the challenge of identifying and preventing diseases in apple trees, which is a popular activity but can be difficult due to the susceptibility of these trees to various diseases. To address this challenge, we propose the use of Convolutional Neural Networks, which have proven effective in automatically detecting plant diseases. To validate our approach, we use images of apple leaves, including Apple Rot Leaves, Leaf Blotch, Healthy Leaves, and Scab Leaves collected from Kaggle (...)
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  19. A comprehensive update on CIDO: the community-based coronavirus infectious disease ontology.Yongqun He, Hong Yu, Anthony Huffman, Asiyah Yu Lin, Darren A. Natale, John Beverley, Ling Zheng, Yehoshua Perl, Zhigang Wang, Yingtong Liu, Edison Ong, Yang Wang, Philip Huang, Long Tran, Jinyang Du, Zalan Shah, Easheta Shah, Roshan Desai, Hsin-hui Huang, Yujia Tian, Eric Merrell, William D. Duncan, Sivaram Arabandi, Lynn M. Schriml, Jie Zheng, Anna Maria Masci, Liwei Wang, Hongfang Liu, Fatima Zohra Smaili, Robert Hoehndorf, Zoë May Pendlington, Paola Roncaglia, Xianwei Ye, Jiangan Xie, Yi-Wei Tang, Xiaolin Yang, Suyuan Peng, Luxia Zhang, Luonan Chen, Junguk Hur, Gilbert S. Omenn, Brian Athey & Barry Smith - 2022 - Journal of Biomedical Semantics 13 (1):25.
    The current COVID-19 pandemic and the previous SARS/MERS outbreaks of 2003 and 2012 have resulted in a series of major global public health crises. We argue that in the interest of developing effective and safe vaccines and drugs and to better understand coronaviruses and associated disease mechenisms it is necessary to integrate the large and exponentially growing body of heterogeneous coronavirus data. Ontologies play an important role in standard-based knowledge and data representation, integration, sharing, and analysis. Accordingly, we (...)
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  20. Diagnosing Ankle Diseases Expert System.Sabreen Kwaider & Bastami Bashhar - 2017 - International Journal of Engineering and Information Systems (IJEAIS) 1 (4):89-101.
    In recent years, technology has evolved significantly to intervene in the treatment of diseases through diagnosis online before going to the specialist doctor, where it become possible for the patient to know the name of his illness, the specialist doctor who can treat him and the multiple treatment methods through specially designed systems called expert systems. The expert system is based on the principle of asking the user gradual questions about the symptoms he feels, leading him to the result of (...)
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  21. A Proposed Expert System for Passion Fruit Diseases.Hanan I. A. Radwan, Hadeel A. El-Hamarnah, Nora J. H. Al-Saloul, Ola I. A. LAfi & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (5):24-33.
    Plant diseases are numerous in the world of agriculture. These diseases cause a lot of trouble to most farmers. Among these common diseases, we single out the diseases that affect the Passion fruit, which is affected by about seven diseases, with different symptoms for each disease. Today, technology is facilitating human life in all areas of life, and among these facilities are expert system, a computer program that uses artificial-intelligence methods to solve problems within a specialized domain that ordinarily (...)
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  22. A Knowledge Based System for Cucumber Diseases Diagnosis.Nora J. H. Al-Saloul, Hadeel A. El-Hamarnah, Ola I. A. LAfi, Hanan I. A. Radwan & Samy S. Abu-Naser - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (5):29-45.
    The cucumber is a creeping vine that roots in the ground and grows up trellises or other supporting frames, wrapping around supports with thin, spiraling tendrils. The plant may also root in a soilless medium, whereby it will sprawl along the ground in lieu of a supporting structure. The vine has large leaves that form a canopy over the fruits. Among these common diseases, we single out the diseases that affect the cucumber, which is affected by about 22 diseases, with (...)
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  23. (1 other version)"We Are the Disease": Truth, Health, and Politics from Plato's Gorgias to Foucault.C. T. Ricciardone - 2014 - Epoché: A Journal for the History of Philosophy 18 (2):287-310.
    Starting from the importance of the figure of the parrhesiastes — the political and therapeutic truth- teller— for Foucault’s understanding of the care of the self, this paper traces the political figuration of the analogy between philosophers and physicians on the one hand, and rhetors and disease on the other in Plato’s Gorgias. I show how rhetoric, in the form of ventriloquism, infects the text itself, and then ask how we account for the effect of the “ contaminated ” (...)
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  24. Predictive Modeling of Obesity and Cardiovascular Disease Risk: A Random Forest Approach.Mohammed S. Abu Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 7 (12):26-38.
    Abstract: This research employs a Random Forest classification model to predict and assess obesity and cardiovascular disease (CVD) risk based on a comprehensive dataset collected from individuals in Mexico, Peru, and Colombia. The dataset comprises 17 attributes, including information on eating habits, physical condition, gender, age, height, and weight. The study focuses on classifying individuals into different health risk categories using machine learning algorithms. Our Random Forest model achieved remarkable performance with an accuracy, F1-score, recall, and precision all reaching (...)
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  25. Ontology Development Strategies and the Infectious Disease Ontology Ecosystem.Giacomo De Colle, Ali Hasanzadeh & John Beverley - 2023 - Proceedings of the International Conference on Biomedical Ontologies.
    After motivating a framework for evaluating top-down, middle-out, middle-in, and bottom-up ontology development strategies, we apply our framework to investigate whether infectious disease ontologies - specifically, the Virus Infectious Disease Ontology (VIDO) and the Coronavirus Infectious Disease Ontology (CIDO) - effectively promote semantic interoperability.
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  26. (1 other version)Development and Evaluation of an Expert System for Diagnosing Kidney Diseases.Shahd J. Albadrasawi, Mohammed M. Almzainy, Jehad M. Altayeb, Hassam Eleyan & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (6):16-22.
    This research paper presents the development and evaluation of an expert system for diagnosing kidney diseases. The expert system utilizes a decision-making tree approach and is implemented using the CLIPS and Delphi frameworks. The system's accuracy in diagnosing kidney diseases and user satisfaction were evaluated. The results demonstrate the effectiveness of the expert system in providing accurate diagnoses and high user satisfaction.
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  27. Rational framing effects and morally valid reasons.Tomasz Żuradzki - 2022 - Behavioral and Brain Sciences 247 (45):e247.
    I argue that the scope of rational framing effects may be broader than Bermúdez assumes. Even in many “canonical experiments,” the explanation of the judgment reversals or shifts may refer to reasons, including moral ones. Referring to the Asian disease paradigm (ADP), I describe how non-consequentialist reasons related to fairness and the distinction between doing and allowing may help explain and justify the typical pattern of choices in the cases like ADP.
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  28. Pathology and normality from XIX century positivism to the contemporary philosophy of science: An analysis of the concept of disease.Maurilio Lovatti - 2001 - Dissertation, Nettuno (Roma) Scuola Internazionale di Filosofia Della Biologia
    The idea of disease as an objective malfunctioning cannot be accepted for many different reasons. “Malfunctioning” or “failure” have a meaning only if the perfect working condition or normality is univocally determined. The differences between a person and any other person are not unimportant and cannot be ignored neither in diagnosis nor in treatment. These differences can be ascribable to three different sets of reasons: 1.illnesses leave irreversible marks on the organic structure, for they modify the information an organism (...)
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  29. Justifications for Non-­Consensual Medical Intervention: From Infectious Disease Control to Criminal Rehabilitation.Jonathan Pugh & Thomas Douglas - 2016 - Criminal Justice Ethics 35 (3):205-229.
    A central tenet of medical ethics holds that it is permissible to perform a medical intervention on a competent individual only if that individual has given informed consent to the intervention. However, in some circumstances it is tempting to say that the moral reason to obtain informed consent prior to administering a medical intervention is outweighed. For example, if an individual’s refusal to undergo a medical intervention would lead to the transmission of a dangerous infectious disease to other members (...)
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  30. The Effect of Evoking Nostalgic Memories on the Homeostatic Variables (Mental and Physical) Among Cardiovascular Patients.Hossein Dabbagh - 2018 - Advances in Cognitive Science 19 (4):57-69.
    Nostalgia as one of the complex emotions has been challenged over the past few decades due to its psychological and physiological functions. The present experiment investigates the effect of recalling nostalgic memories on amelioration of homeostatic and health state of people with cardiovascular disease. Method: The participants were 30 patients who were hospitalized for angiography procedure. The research was based on an experimental design with randomized and post-test groups. The instruments used included a thermometer with ° C, a checkout (...)
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  31. COVID-19 Adaptive Humoral Immunity Models: Weakly Neutralizing Versus Antibody-Disease Enhancement Scenarios.Ghozlane Yahiaoui, Gabriel Turinici, Oriane Pagani-Azizi & Antoine Danchin - 2022 - Acta Biotheoretica 70 (4):23.
    The interplay between the virus, infected cells and immune responses to SARS-CoV-2 is still under debate. By extending the basic model of viral dynamics, we propose here a formal approach to describe neutralisation versus weak (or non-)neutralisation scenarios and compare them with the possible effects of antibody-dependent enhancement (ADE). The theoretical model is consistent with the data available in the literature; we show that both weakly neutralising antibodies and ADE can result in final viral clearance or disease progression, but (...)
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  32. Effect of Trigona Honey to mRNA Expression of Interleukin-6 on Salmonella Typhi Induced of BALB/c Mice.Yuliana Syam, Rosdiana Natsir, Sutji Pratiwi Rahardjo, Andi Nilawati Usman, Ressy Dwiyanti & Mochammad Hatta - 2016 - American Journal of Microbiological Research 4 (3):77-80.
    Weak inflammatory response after Salmonella infection can cause persistent infection and facilitate the long survival of pathogens. Honey can induce key immunomodulators such as TNF-α, interleukin-6 (IL-6) and IL-1, that it can be used in the treatment of bacterial infectious diseases caused by Salmonella typhi. The purpose of this study is to determine the effect of honey on the mRNA expression of IL-6 in Salmonella enterica Typhi induced of BABL/c mice. The study used experimental pretest-posttest control design. Honey treatment was (...)
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  33.  93
    Using Deep Learning to Classify Eight Tea Leaf Diseases.Mai R. Ibaid & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):89-96.
    Abstract: People all over the world have been drinking tea for thousands of centuries, and for good reason. Many types of teas can help you stay healthy by boosting your immune system, reducing inflammation, and even preventing cancer and heart disease. There is sufficient material to show that regularly consuming tea can improve your health over the long term. A deep learning model that categorizes tea disorders has been completed. When focusing on the tea, we must also focus on (...)
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  34. Effects of Gluteus Maximus Muscle Strength on Ataxia, Gait, and Equilibrium in Multiple Sclerosis.Fatma Erdeo, Ali Ulvi Uca, Osman Serhat Tokgöz, Yeliz Salcı & Ayla Fil Balkan - 2023 - European Journal of Therapeutics 29 (1):81-87.
    Introduction: Multiple sclerosis (MS) is an autoimmune disease that causes scar tissue in the nervous system and seriously affects the quality of life of people. Muscle weakness, spasticity and coordination problems are seen primarily in the lower extremities. Strengthening exercises improve muscle strength in people with multiple sclerosis, but there is no consensus on their effect on walking capacity. -/- Methods: To determine the relationship between gluteus maximus muscle strength, ataxia, balance and walking capacity in Multiple Sclerosis. An experimental (...)
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  35. ARTIFICIAL INTELLIGENT BASED COMPUTATIONAL MODEL FOR DETECTING CHRONIC-KIDNEY DISEASE.K. Jothimani & S. Thangamani - 2022 - Journal of Science Technology and Research (JSTAR) 3 (1):15-27.
    Chronic kidney disease (CKD) is a global health problem with high morbidity and mortality rate, and it induces other diseases. There are no obvious incidental effects during the starting periods of CKD, patients routinely disregard to see the sickness. Early disclosure of CKD enables patients to seek helpful treatment to improve the development of this disease. AI models can effectively assist clinical with achieving this objective on account of their fast and exact affirmation execution. In this appraisal, proposed (...)
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  36. 'Is depression a sin or a disease?' A critique of moralising and medicalising models of mental illness.Anastasia Philoppa Scrutton - forthcoming - Journal of Religion and Disability.
    Moralising accounts of depression include the idea that depression is a sin or the result of sin, and/or that it is the result of demonic possession which has occurred because of moral or spiritual failure. Increasingly some Christian communities, understandably concerned about the debilitating effects these views have on people with depression, have adopted secular folk psychiatry’s ‘medicalising’ campaign, emphasising that depression is an illness for which, like (so-called) physical illnesses, experients should not be held responsible. This paper argues that (...)
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  37.  10
    Effect of antimicrobial susceptibility testing on treating Libyan outpatients with a suspected bacterial infection.Abdallah A. Mahjoub - 2024 - Mediterranean Journal of Pharmacy and Pharmaceutical Sciences 4 (3):41-50.
    Clinical microbiology serves as a partner to clinicians in the diagnosis and treatment of infectious diseases. Antibiotics are prescribed empirically before the availability of antimicrobial susceptibility testing data, especially when the patient's medical status could deteriorate by suspending the treatment. To investigate the impact of antimicrobial susceptibility testing on the management of outpatients with suspected bacterial infection in Libyan patients, a cross-sectional prospective study concluded on microbial microdroplet culture by including outpatients with suspected bacterial infection, who have done antimicrobial susceptibility (...)
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  38. CIDO: The Community-Based Coronavirus Infectious Disease Ontology.Yongqun He, Hong Yu, Edison Ong, Yang Wang, Yingtong Liu, Anthony Huffman, Hsin-hui Huang, Beverley John, Asiyah Yu Lin, Duncan William D., Sivaram Arabandi, Jiangan Xie, Junguk Hur, Xiaolin Yang, Luonan Chen, Gilbert S. Omenn, Brian Athey & Barry Smith - 2021 - Proceedings of the 11th International Conference on Biomedical Ontologies (ICBO) and 10th Workshop on Ontologies and Data in Life Sciences (ODLS).
    Current COVID-19 pandemic and previous SARS/MERS outbreaks have caused a series of major crises to global public health. We must integrate the large and exponentially growing amount of heterogeneous coronavirus data to better understand coronaviruses and associated disease mechanisms, in the interest of developing effective and safe vaccines and drugs. Ontologies have emerged to play an important role in standard knowledge and data representation, integration, sharing, and analysis. We have initiated the development of the community-based Coronavirus Infectious (...) Ontology (CIDO). As an Open Biomedical Ontology (OBO) library ontology, CIDO is an open source and interoperable with other existing OBO ontologies. In this article, the general architecture and the design patterns of the CIDO are introduced, CIDO representation of coronaviruses, phenotypes, anti-coronavirus drugs and medical devices (e.g. ventilators) are illustrated, and an application of CIDO implemented to identify repurposable drug candidates for effective and safe COVID-19 treatment is presented. (shrink)
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  39. EFFECTS OF PESTICIDES ON BIODIVERSITY AND CLIMATE CHANGE.Vinod K. Chaudhary, Sunita Arya & Prabhakar Singh - 2021 - International Journal on Environmental Sciences 11 (2):95-99.
    Pesticides are the biological pollutants, which are being used by the man to kill the pests for increasing the yield of many crops and insect vectors to control the spread of disease. The tremendous use of pesticides has caused severe health hazards to organisms including human beings due to climate change. Excessive use of pesticides may lead to the destruction of biodiversity. Many birds, aquatic organisms and animals are under the threat of harmful pesticides for their survival. The pesticides (...)
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  40. An Expert System for Diagnosing Mouth Ulcer Disease Using CLIPS.Walid F. Murad & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (6):30-37.
    Mouth ulcers, also known as canker sores, are a common oral health issue affecting a significant portion of the population. Early and accurate diagnosis of mouth ulcers is crucial for effective treatment and prevention of complications. This paper presents an expert system developed using CLIPS (C Language Integrated Production System) to diagnose mouth ulcer disease. The expert system utilizes a rule-based approach, incorporating a comprehensive knowledge base consisting of symptoms, risk factors, and medical literature related to mouth ulcers. (...)
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  41. The Duty to Rescue and Randomized Controlled Trials Involving Serious Diseases.Joseph Millum & David Wendler - 2018 - Journal of Moral Philosophy 15 (3):298-323.
    During the recent Ebola epidemic, some commentators and stakeholders argued that it would be unethical to carry out a study that withheld a potential treatment from affected individuals with such a serious, untreatable disease. As a result, the initial trials of experimental treatments did not have control arms, despite important scientific reasons for their inclusion. In this paper, we consider whether the duty to rescue entails that it would be unethical to withhold an experimental treatment from patient-participants with serious (...)
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  42. COVID-19 and Science Communication: The Recording and Reporting of Disease Mortality.Ognjen Arandjelovic - 2022 - Information 13 (2):97.
    The ongoing COVID-19 pandemic has brought science to the fore of public discourse and, considering the complexity of the issues involved, with it also the challenge of effective and informative science communication. This is a particularly contentious topic, in that it is both highly emotional in and of itself; sits at the nexus of the decision-making process regarding the handling of the pandemic, which has effected lockdowns, social behaviour measures, business closures, and others; and concerns the recording and reporting (...)
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  43. Ethical Considerations and Science Diplomacy on Coronavirus Disease (Covid-19) Pandemic in Nigeria.Sotonye Big-Alabo & Remigius Achinike Obah - 2020 - Academic Leadership 21 (6):347-356.
    The study investigated ethical considerations and science diplomacy on coronavirus disease (Covid-19) pandemic in Nigeria. The outbreak of the coronavirus disease (Covid-19) in Nigeria has spread quickly to about 34 states out of the 36 states and over 5000 persons have tested positive as at the time of this research after the first index case of an Italian and there is a projection that in coming days and weeks the number of infected persons and states will increase. The (...)
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  44. The Case Fatality Rate in COVID-19 Patients With Cardiovascular Disease: Global Health Challenge and Paradigm in the Current Pandemic.Siddhartha Dan, Mohit Pant & Sushil Kumar Upadhyay - 2021 - Curr Pharmacol Rep 6:1-10.
    Purpose of Review Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is identified from Wuhan, China, and has spread almost worldwide. Recently, the newly identified SARS-CoV-2 has been confirmed to kill millions of people worldwide and is dangerous to society health, survival, and livelihood. The people with cardiovascular problems are noticed as most common patients of coronavirus disease 2019 (COVID-19). There is a greater risk of mortality and morbidity in these patients than other patients of COVID-19. In the heart, expressed angiotensin-converting (...)
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  45. Investigating the Factors Related to Coronavirus Disease 2019 (COVID-19) on Undergraduate Students’ Interests in Coursework.Güngör Abdi, Karaman Mehmet Akif, Sari Halil İbrahim & Çolak Tuğba Seda - 2020 - International Journal of Psychology and Educational Studies 7 (3):1-13.
    Today the world is suffering from coronavirus (COVID-19) pandemic illness, and people all around the world stay at home due to its rapid spread. People including students gather information and government instructions through TVs, social media and others around them. Since the classes were canceled in many countries, the novel coronavirus affects students’ interest in coursework. The purpose of this study was to examine the effect of TV news, social media and communication with people on interest in coursework, and mediating (...)
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  46. Towards an Ontological Representation of Resistance: The Case of MRSA.Albert Goldfain, Barry Smith & Lindsay G. Cowell - 2011 - Journal of Biomedical Informatics 44 (1):35-41.
    This paper addresses a family of issues surrounding the biological phenomenon of resistance and its representation in realist ontologies. The treatments of resistance terms in various existing ontologies are examined and found to be either overly narrow, internally inconsistent, or otherwise problematic. We propose a more coherent characterization of resistance in terms of what we shall call blocking dispositions, which are collections of mutually coordinated dispositions which are of such a sort that they cannot undergo simultaneous realization within a single (...)
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  47. Responding to the Call through Translating Science into Impact: Building an Evidence-Based Approaches to Effectively Curb Public Health Emergencies [Covid-19 Crisis]. [REVIEW]Morufu Olalekan Raimi, Kalada Godson Mcfubara, Oyeyemi Sunday Abisoye, Clinton Ifeanyichukwu Ezekwe, Olawale Henry Sawyerr & Gift Aziba-Anyam Raimi - 2021 - Global Journal of Epidemiology and Infectious Disease 1:12-45.
    COVID-19 demonstrated a global catastrophe that touched everybody, including the scientific community. As we respond and recover rapidly from this pandemic, there is an opportunity to guarantee that the fabric of our society includes sustainability, fairness, and care. However, approaches to environmental health attempt to decrease the population burden of COVID-19, toward saving patients from becoming ill along with preserving the allocation of clinical resources and public safety standards. This paper explores environmental and public health evidence-based practices toward responding to (...)
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  48.  48
    Nano-plasmonic and nanoelectronic pattern is one of the miniaturization techniqu.Afshin Rashid - 2024 - Authorea 12.
    nanological gates, in order to design nano-scale computers with dual-scale capabilities. All living biological systems function due to the molecular interactions of different subsystems. Molecular components (proteins and nucleic acids, lipids and carbohydrates, DNA and RNA) can be used as an inspirational strategy on how to design high-performance NEMS and MEMS that have the required features and characteristics. Considered. In addition, analytical and numerical methods are available for dynamic analysis and three-dimensional geometry, bonding and other properties of atoms and molecules. (...)
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  49. Eating Meat and Not Vaccinating: In Defense of the Analogy.Ben Jones - 2021 - Bioethics 35 (2):135-142.
    The devastating impact of the COVID‐19 (coronavirus disease 2019) pandemic is prompting renewed scrutiny of practices that heighten the risk of infectious disease. One such practice is refusing available vaccines known to be effective at preventing dangerous communicable diseases. For reasons of preventing individual harm, avoiding complicity in collective harm, and fairness, there is a growing consensus among ethicists that individuals have a duty to get vaccinated. I argue that these same grounds establish an analogous duty to (...)
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  50. Philosophy of Psychiatry.Jonathan Y. Tsou - 2021 - Cambridge: Cambridge University Press.
    Jonathan Y. Tsou examines and defends positions on central issues in philosophy of psychiatry. The positions defended assume a naturalistic and realist perspective and are framed against skeptical perspectives on biological psychiatry. Issues addressed include the reality of mental disorders; mechanistic and disease explanations of abnormal behavior; definitions of mental disorder; natural and artificial kinds in psychiatry; biological essentialism and the projectability of psychiatric categories; looping effects and the stability of mental disorders; psychiatric classification; and the validity of the (...)
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