Results for 'Heart Disease, '

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  1. 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 binary (...)
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  2. Prediction of Heart Disease Using a Collection of Machine and Deep Learning Algorithms.Ali M. A. Barhoom, Abdelbaset Almasri, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2022 - International Journal of Engineering and Information Systems (IJEAIS) 6 (4):1-13.
    Abstract: Heart diseases are increasing daily at a rapid rate and it is alarming and vital to predict heart diseases early. The diagnosis of heart diseases is a challenging task i.e. it must be done accurately and proficiently. The aim of this study is to determine which patient is more likely to have heart disease based on a number of medical features. We organized a heart disease prediction model to identify whether the person is likely (...)
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  3. Prediction of Heart Disease Using a Collection of Machine and Deep Learning Algorithms.Ali M. A. Barhoom, Abdelbaset Almasri, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2022 - International Journal of Engineering and Information Systems (IJEAIS) 6 (4):1-13.
    Abstract: Heart diseases are increasing daily at a rapid rate and it is alarming and vital to predict heart diseases early. The diagnosis of heart diseases is a challenging task i.e. it must be done accurately and proficiently. The aim of this study is to determine which patient is more likely to have heart disease based on a number of medical features. We organized a heart disease prediction model to identify whether the person is likely (...)
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  4. Prognostic System for Heart Disease using Machine Learning: A Review.R. Senthilkumar - 2021 - Journal of Science Technology and Research (JSTAR) 2 (1):33-38.
    In today’s world it became difficult for daily routine check-up. The Heart disease system is an end user support and online consultation project. Here the motto behind it is to make a person to know about their heart related problem and according to it formulate them how much vital the disease is. It will be easy to access and keep track of their respective health. Thus, it’s important to predict the disease as earliest. Attributes such as Bp, Cholesterol, (...)
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  5. A Conceptual Model: The Impact of Sociodemographic on Coronary Heart Disease.Aza Azlina Md Kassim, Juliza Mohamed & Zainal Azhar Zainal Azim - 2020 - International Journal of Scientific Research and Management (IJSRM) 8 (1).
    The paper aims to examine the conceptual model on the impact of sociodemographic towards coronary heart disease. There is still limited study on the association between cost of living particularly the cost of food and housing and its impact on coronary heart disease. Therefore, this study incorporates five essential sociodemographic attributes namely, cost of food, children education cost, housing cost, smoking habit and gender. The study provides greater understanding on how the cost of living and lifestyle may give (...)
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  6. 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 (...)
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  7. Thyroid Panel and Modified Lipid Profile among Sudanese Patients with Coronary Heart Disease.Lubna S. B. Mohmmedzain, Sahar A. M. Abdelrahman, Zainab E. M. Ibrahim, Zainab F. E. Ahmed & Mohamed A. M. Salih - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (3):1-7.
    Abstract: The analytical, comparative cross-sectional study was conducted to assess the thyroid profiles and modified lipid profiles levels among Sudanese patients with coronary heart disease performed on forty-one patients with coronary heart disease as test group collected from Sudan Heart Center, Al rebat teaching hospital and Al mawada hospital in Khartoum state, during the period between November 2017 and May 2018. Furthermore, the test group compared with forty-one apparently healthy volunteers as control group was selected with the (...)
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  8. Prediction Heart Attack using Artificial Neural Networks (ANN).Ibrahim Younis, Mohammed S. Abu Nasser, Mohammed A. Hasaballah & Samy S. Abu-Naser - 2023 - International Journal of Engineering and Information Systems (IJEAIS) 7 (10):36-41.
    Abstract Heart Attack is the Cardiovascular Disease (CVD) which causes the most deaths among CVDs. We collected a dataset from Kaggle website. In this paper, we propose an ANN model for the predicting whether a patient has a heart attack or not that. The dataset set consists of 9 features with 1000 samples. We split the dataset into training, validation, and testing. After training and validating the proposed model, we tested it with testing dataset. The proposed model reached (...)
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  9. A CLIPS-Based Expert System for Heart Palpitations Diagnosis.Fadi N. Qanoo, Raja E. N. Altarazi & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (6):10-15.
    Heart palpitations, while often benign, can sometimes be indicative of severe underlying conditions requiring immediate intervention. Accurate and swift diagnosis thus remains a clinical priority. "A CLIPS-Based Expert System for Heart Palpitations Diagnosis" represents a novel approach to addressing this challenge, harnessing the power of artificial intelligence and rule-based expert systems. Specifically, this system applies a suite of 7 if-then rules to evaluate potential heart palpitations causes and assign one of three outcomes: 1) A confirmed diagnosis of (...)
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  10. An Expert System for Arthritis Diseases Diagnosis Using SL5 Object.Hosni Qasim El-Mashharawi, Izzeddin A. Alshawwa, Mohammed Elkahlout & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (4):28-35.
    Background: Arthritis is very common but is not well understood. Actually, “arthritis” is not a single disease; it is an informal way of referring to joint pain or joint disease. There are more than 100 different types of arthritis and related conditions. People of all ages, sexes and races can and do have arthritis, and it is the leading cause of disability in America. More than 50 million adults and 300,000 children have some type of arthritis. It is most common (...)
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  11.  27
    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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  12. KBS for Diagnosing Pineapple Diseases.Nassr Mohammad & Bastami Bashhar - 2017 - International Journal of Academic Pedagogical Research (IJAPR) 7 (2):12-17.
    Abstract: Background: The pineapple (A nanas comosus) is a tropical plant with an edible multiple fruit consisting of coalesced berries, also called pineapples, and the most economically significant plant in the Bromeliaceae family. Pineapples may be cultivated from a crown cutting of the fruit, possibly flowering in five to ten months and fruiting in the following six months.[5][6] Pineapples do not ripen significantly after harvest. In 2016, Costa Rica, Brazil, and the Philippines accounted for nearly one-third of the world's production (...)
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  13. Aortic Stenosis and Stressed Heart Morphology.Celalettin Karatepe - 2014 - World Journal of Cardiovascular Surgery 4:151-157.
    Myocardial geometric remodeling is a response to increased stress which includes increased afterload situations during clinical conditions. In this review, we have focused on early and late geometric features in aortic stenosis, importance of recognition of these findings and consequences due to progression of valve disease. We have also pointed out the similarities in early focal and global myocardial geometric remodeling in acute and chronic conditions as hypertension and acute stress cardiomypathy which are associated with myocardial functional and geometric response (...)
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  14. 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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  15. Emotional regulation and depression: A potential mediator between heart and mind.Angelo Compare, Cristina Zarbo, Edo Shonin, William Van Gordon & Chiara Marconi - 2014 - Cardiovascular Psychiatry and Neurology 2014:ID 324374, 10 pages.
    A narrative review of the major evidence concerning the relationship between emotional regulation and depression was conducted. The literature demonstrates a mediating role of emotional regulation in the development of depression and physical illness. Literature suggests in fact that the employment of adaptive emotional regulation strategies (e.g., reappraisal) causes a reduction of stress-elicited emotions leading to physical disorders. Conversely, dysfunctional emotional regulation strategies and, in particular, rumination and emotion suppression appear to be influential in the pathogenesis of depression and physiological (...)
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  16. Why Look for Myocardial Disarray.Shamima Lasker, Craig McLachlan, Laxin Wang & Herbert Jelinek - 2021 - Shahabuddin Med C J 6 (1):22-30.
    Myocardial disarray is the screening tool for HCM (hypertrophy cardiomyopathy). It is also found in hypertension, congenital heart disease, corpulmonale, etc. Many patients died from heart failure due to myocardial disarray. The risk of premature death may be determined by the degree of myocyte disarray. This article reviews the anatomical explanation of myocardial disarray. It also discusses the pathogenesis of the myocardial disorganization that causes heart failure. How to measure myocardial disarray has also been assessed. Therefore, early (...)
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  17. Exercise Prescription and The Doctor's Duty of Non-Maleficence.Jonathan Pugh, Christopher Pugh & Julian Savulesu - 2017 - British Journal of Sports Medicine 51 (21):1555-1556.
    An abundance of data unequivocally shows that exercise can be an effective tool in the fight against obesity and its associated co-morbidities. Indeed, physical activity can be more effective than widely-used pharmaceutical interventions. Whilst metformin reduces the incidence of diabetes by 31% (as compared with a placebo) in both men and women across different racial and ethnic groups, lifestyle intervention (including exercise) reduces the incidence by 58%. In this context, it is notable that a group of prominent medics and exercise (...)
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  18. “The Obvious Invisibility of the Relationship between Technology and Social Values.”.Jamie P. Ross - 2010 - International Journal of Science in Society, Vol. 2, No.1, P. 51-62, CG Publisher. 2010 2 (1):51-62.
    Abstract -/- “The Obvious Invisibility of the Relationship Between Technology and Social Values” -/- We all too often assume that technology is the product of objective scientific research. And, we assume that technology’s moral value lies in only the moral character of its user. Yet, in order to objectify technology in a manner that removes it from a moral realm, we rely on the assumption that technology is value neutral, i.e., it is independent of all contexts other than the context (...)
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  19. Tooth Problems Knowledge Based System.Azmi H. Alsaqqa, Mohammed A. Alkahlout & Samy S. Abu-Naser - 2021 - International Journal of Academic Information Systems Research (IJAISR) 5 (5):17-22.
    Abstract: background: Dental and oral health is an essential part of your overall health and well-being. Poor oral hygiene can lead to dental cavities and gum disease, and has also been linked to heart disease, cancer, and diabetes. Maintaining healthy teeth and gums is a lifelong commitment. The earlier you learn proper oral hygiene habits — such as brushing, flossing, and limiting your sugar intake — the easier it’ll be to avoid costly dental procedures and long-term health issues. (Healthline, (...)
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  20. Should causal models always be Markovian? The case of multi-causal forks in medicine.Donald Gillies & Aidan Sudbury - 2013 - European Journal for Philosophy of Science 3 (3):275-308.
    The development of causal modelling since the 1950s has been accompanied by a number of controversies, the most striking of which concerns the Markov condition. Reichenbach's conjunctive forks did satisfy the Markov condition, while Salmon's interactive forks did not. Subsequently some experts in the field have argued that adequate causal models should always satisfy the Markov condition, while others have claimed that non-Markovian causal models are needed in some cases. This paper argues for the second position by considering the multi-causal (...)
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  21. COVID-19 Pandemic: Evidences from Clinical Studies.Ravi Shankar Singh, Abhishek Kumar Singh, Kamla Kant Shukla & Amit Kumar Tripathi - 2020 - Journal of Community and Public Health Nursing 6 (4):251.
    The public health crisis is started with emergence of new coronavirus on 11 February 2020 which triggered as coronavirus disease-2019 (COVID-19) pandemics. The causative agent in COVID-19 is made up of positively wrapped single-stranded RNA viruses ~ 30 kb in size. The epidemiology, clinical features, pathophysiology, and mode of transmission have been documented well in many studies, with additional clinical trials are running for several antiviral agents. The spreading potential of COVID-19 is faster than its two previous families, the severe (...)
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  22. Type of Tomato Classification Using Deep Learning.Mahmoud A. Alajrami & Samy S. Abu-Naser - 2020 - International Journal of Academic Pedagogical Research (IJAPR) 3 (12):21-25.
    Abstract: Tomatoes are part of the major crops in food security. Tomatoes are plants grown in temperate and hot regions of South American origin from Peru, and then spread to most countries of the world. Tomatoes contain a lot of vitamin C and mineral salts, and are recommended for people with constipation, diabetes and patients with heart and body diseases. Studies and scientific studies have proven the importance of eating tomato juice in reducing the activity of platelets in diabetics, (...)
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  23. The concepts and origins of cell mortality.Pierre M. Durand & Grant Ramsey - 2023 - History and Philosophy of the Life Sciences 45 (23):1-23.
    Organismal death is foundational to the evolution of life, and many biological concepts such as natural selection and life history strategy are so fashioned only because individuals are mortal. Organisms, irrespective of their organization, are composed of basic functional units—cells—and it is our understanding of cell death that lies at the heart of most general explanatory frameworks for organismal mortality. Cell death can be exogenous, arising from transmissible diseases, predation, or other misfortunes, but there are also endogenous forms of (...)
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  24. Mad Speculation and Absolute Inhumanism: Lovecraft, Ligotti, and the Weirding of Philosophy.Ben Woodard - 2011 - Continent 1 (1):3-13.
    continent. 1.1 : 3-13. / 0/ – Introduction I want to propose, as a trajectory into the philosophically weird, an absurd theoretical claim and pursue it, or perhaps more accurately, construct it as I point to it, collecting the ground work behind me like the Perpetual Train from China Mieville's Iron Council which puts down track as it moves reclaiming it along the way. The strange trajectory is the following: Kant's critical philosophy and much of continental philosophy which has followed, (...)
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  25. A Revolutionary New Metaphysics, Based on Consciousness, and a Call to All Philosophers.Lorna Green - manuscript
    June 2022 A Revolutionary New Metaphysics, Based on Consciousness, and a Call to All Philosophers We are in a unique moment of our history unlike any previous moment ever. Virtually all human economies are based on the destruction of the Earth, and we are now at a place in our history where we can foresee if we continue on as we are, our own extinction. As I write, the planet is in deep trouble, heat, fires, great storms, and record flooding, (...)
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  26. Health for Whom? Bioethics and the Challenge of Justice for Genomic Medicine.Joel Michael Reynolds - 2020 - Hastings Center Report 50 (S1):2-5.
    The guiding premise from which this special report begins is the conviction and hope that justice is at the normative heart of medicine and that it is the perpetual task of bioethics to bring concerns of justice to bear on medical practice. On such an account, justice is medicine's lifeblood, that by which it contributes to life as opposed to diminishing it. It is in this larger, historical, intersectional, critical, and ethically minded context that we must approach pressing questions (...)
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  27. Is Science Neurotic?Nicholas Maxwell - 2004 - London: World Scientific.
    In this book I show that science suffers from a damaging but rarely noticed methodological disease, which I call rationalistic neurosis. It is not just the natural sciences which suffer from this condition. The contagion has spread to the social sciences, to philosophy, to the humanities more generally, and to education. The whole academic enterprise, indeed, suffers from versions of the disease. It has extraordinarily damaging long-term consequences. For it has the effect of preventing us from developing traditions and institutions (...)
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  28. हज़रत शाह काज़िम कलन्दर.सुहैल काकोरवी - 2014 - SOCRATES 2 (1):262-269.
    Muslim Sufi ideology had been spread by the saints who came from various Islamic countries. The cultural and religious atmosphere of India was very favourable for Sufism which has a power to move the minds towards humanity and philanthropy. Quran teaches us that we must love God vehemently and the effect of which produces love for his creations. Sufis in their effort followed the commands of Almighty. They tried to come near all sorts of human beings and understood their agonies (...)
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  29. The Return of the New Flesh: Body Memory in David Cronenberg and Merleau-Ponty.Dylan Trigg - 2011 - Film-Philosophy 15 (1):82-99.
    From the “psychoplasmic” offspring in The Brood (1979) to the tattooed encodings in Eastern Promises (2007), David Cronenberg presents a compelling vision of embodiment, which challenges traditional accounts of personal identity and obliges us to ask how human beings persist through different times, places, and bodily states while retaining their sameness. Traditionally, the response to this question has emphasised the importance of cognitive memory in securing the continuity of consciousness. But what has been underplayed in this debate is the question (...)
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  30. Anemia.Mota Victor - manuscript
    Anemia, the syntoms of a great disease in the heart of society.
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  31.  74
    Enhancing Reduced Risk of Obese Patient Exposure to COVID-19 Attack through Food and Nutritional Adjustment.Patience Abosede Olunusi & Motunrayo Risikat Asunmo - 2023 - International Journal of Home Economics, Hospitality and Allied Research 2 (2):206-218.
    The COVID-19 pandemic is a major global challenge. There are several risk factors associated with mortality in patients with COVID-19, including age, gender, diabetes mellitus, cerebrovascular, cardiovascular, and pulmonary diseases. Among these factors, patients with cardiovascular disease, diabetes mellitus, and obesity have the highest mortality rates. This paper aims to review how adjusting food and nutrition can help reduce the risk of obese patients contracting COVID-19. Various literature sources were examined, including studies on the genetics of obesity and the consequences (...)
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  32. Heart attack analysis & Prediction: A Neural Network Approach with Feature Analysis.Majd N. Allouh & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (9):47-54.
    heart attack analysis & prediction dataset is a major cause of death worldwide. Early detection and intervention are essential for improving the chances of a positive outcome. This study presents a novel approach to predicting the likelihood of a person having heart failure using a neural network model. The dataset comprises 304 samples with 11 features, such as age, sex, chest pain type, Trtbps, cholesterol, fasting blood sugar, resting electrocardiogram results, maximum heart rate achieved, exercise-induced angina, oldpeak, (...)
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  33. 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 automated processing of data and (...)
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  34. Health, Disease, and the Medicalization of Low Sexual Desire: A Vignette-Based Experimental Study.Somogy Varga, Andrew J. Latham & Jacob Stegenga - forthcoming - Ergo.
    Debates about the genuine disease status of controversial diseases rely on intuitions about a range of factors. Adopting tools from experimental philosophy, this paper explores some of the factors that influence judgments about whether low sexual desire should be considered a disease and whether it should be medically treated. Drawing in part on some assumptions underpinning a divide in the literature between viewing low sexual desire as a genuine disease and seeing it as improperly medicalized, we investigate whether health and (...)
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  35. German disease.Andrej Poleev - 2019 - Enzymes.
    Deutsche Krankheit: eine Diagnosestellung mit Rückblick und Ausblick auf Krankheitsverlauf.
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  36. Heron Heart.Dana Trusso - 2023 - Gothic Nature Journal: New Directions in Ecohorror and the Ecogothic 4 (1):342-345.
    Heron Heart is a poem born out of reflecting on the nature of existence during long stretches of isolation, where the boundary of what is and is not a living being was challenged—the nonhuman more alive than the human. It evokes the absurdity of the banal out of the confusion and beauty of sensory experience, with hints of nostalgia for a mythological world that never existed but is ever-present.
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  37. A plant disease extension of the Infectious Disease Ontology.Ramona Walls, Barry Smith, Elser Justin, Goldfain Albert, W. Stevenson Dennis & Pankaj Jaiswal - 2012 - In Walls Ramona, Smith Barry, Justin Elser, Albert Goldfain & Stevenson Dennis W. (eds.), Proceeedings of the Third International Conference on Biomedical Ontology (CEUR 897). pp. 1-5.
    Plants from a handful of species provide the primary source of food for all people, yet this source is vulnerable to multiple stressors, such as disease, drought, and nutrient deficiency. With rapid population growth and climate uncertainty, the need to produce crops that can tolerate or resist plant stressors is more crucial than ever. Traditional plant breeding methods may not be sufficient to overcome this challenge, and methods such as highOthroughput sequencing and automated scoring of phenotypes can provide significant new (...)
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  38. 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, luck (...)
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  39.  40
    Is Health the Absence of Disease?Somogy Varga & Andrew J. Latham - forthcoming - Inquiry: An Interdisciplinary Journal of Philosophy.
    While philosophical questions about health and disease have attracted much attention in recent decades, and while opinions are divided on most issues, influential accounts seem to embrace negativism about health, according to which health is the absence of disease. Some subscribe to unrestricted negativism, which claims that negativism applies not only to the concepts of health and disease as used by healthcare professionals but also to the lay concept that underpins everyday thinking. Whether people conceptualize health in this manner has (...)
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  40. The Heart of the Problem with Longtermism (Draft).Ben Bramble - manuscript
    In this critique of longtermism, I attack its Heart, the idea that there is intrinsic value in the addition of each new happy being to the world. I provide new responses to longtermists' two main arguments for the Heart (The Argument from Extinction and The Argument from Miserable Beings). I then sketch an alternative view to longtermism, which I call Future Sentimentalism, a view that does a better job of explaining our future-regarding reasons. Finally, I consider an important (...)
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  41. 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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  42. Representing disease courses: An application of the Neurological Disease Ontology to Multiple Sclerosis Typology.Mark Jensen, Alexander P. Cox, Barry Smith & Alexander Diehl - 2013 - In Jensen Mark, Cox Alexander P., Diehl Alexander & Smith Barry (eds.), Proceedings of the Fourth International Conference on Biomedical Ontology (ICBO), CEUR 1060.
    The Neurological Disease Ontology (ND) is being developed to provide a comprehensive framework for the representation of neurological diseases (Diehl et al., 2013). ND utilizes the model established by the Ontology for General Medical Science (OGMS) for the representation of entities in medicine and disease (Scheuermann et al., 2009). The goal of ND is to include information for each disease concerning its molecular, genetic, and environmental origins, the processes involved in its etiology and realization, as well as its clinical presentation (...)
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  43. 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. This is (...)
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  44. Classification of Alzheimer's Disease Using Convolutional Neural Networks.Lamis F. Samhan, Amjad H. Alfarra & Samy S. Abu-Naser - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (3):18-23.
    Brain-related diseases are among the most difficult diseases due to their sensitivity, the difficulty of performing operations, and their high costs. In contrast, the operation is not necessary to succeed, as the results of the operation may be unsuccessful. One of the most common diseases that affect the brain is Alzheimer’s disease, which affects adults, a disease that leads to memory loss and forgetting information in varying degrees. According to the condition of each patient. For these reasons, it is important (...)
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  45. Disease Identification using Machine Learning and NLP.S. Akila - 2022 - Journal of Science Technology and Research (JSTAR) 3 (1):78-92.
    Artificial Intelligence (AI) technologies are now widely used in a variety of fields to aid with knowledge acquisition and decision-making. Health information systems, in particular, can gain the most from AI advantages. Recently, symptoms-based illness prediction research and manufacturing have grown in popularity in the healthcare business. Several scholars and organisations have expressed an interest in applying contemporary computational tools to analyse and create novel approaches for rapidly and accurately predicting illnesses. In this study, we present a paradigm for assessing (...)
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  46. Half-Hearted Humeanism.Aaron Segal - 2015 - Oxford Studies in Metaphysics 9:262-305.
    Many contemporary philosophers endorse the Humean-Lewisian Denial of Absolutely Necessary Connections (‘DANC’). Among those philosophers, many deny all or part of the Humean-Lewisian package of views about causation and laws. I argue that they maintain an inconsistent set of views. DANC entails that (1) causal properties and relations are, with a few possible exceptions, always extrinsic to their bearers, (2) nomic properties and relations are, with a few possible exceptions, always extrinsic to their bearers, and (3) causal and nomic properties (...)
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  47. Retina Diseases Diagnosis Using Deep Learning.Abeer Abed ElKareem Fawzi Elsharif & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (2):11-37.
    There are many eye diseases but the most two common retinal diseases are Age-Related Macular Degeneration (AMD), which the sharp, central vision and a leading cause of vision loss among people age 50 and older, there are two types of AMD are wet AMD and DRUSEN. Diabetic Macular Edema (DME), which is a complication of diabetes caused by fluid accumulation in the macula that can affect the fovea. If it is left untreated it may cause vision loss. Therefore, early detection (...)
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  48. The Infectious Disease Ontology in the Age of COVID-19.Shane Babcock, Lindsay G. Cowell, John Beverley & Barry Smith - 2021 - Journal of Biomedical Semantics 12 (13).
    The Infectious Disease Ontology (IDO) is a suite of interoperable ontology modules that aims to provide coverage of all aspects of the infectious disease domain, including biomedical research, clinical care, and public health. IDO Core is designed to be a disease and pathogen neutral ontology, covering just those types of entities and relations that are relevant to infectious diseases generally. IDO Core is then extended by a collection of ontology modules focusing on specific diseases and pathogens. In this paper we (...)
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  49. Is pregnancy a disease? A normative approach.Anna Smajdor & Joona Räsänen - forthcoming - Journal of Medical Ethics.
    In this paper, we identify some key features of what makes something a disease, and consider whether these apply to pregnancy. We argue that there are some compelling grounds for regarding pregnancy as a disease. Like a disease, pregnancy affects the health of the pregnant person, causing a range of symptoms from discomfort to death. Like a disease, pregnancy can be treated medically. Like a disease, pregnancy is caused by a pathogen, an external organism invading the host’s body. Like a (...)
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  50. Expert System for Castor Diseases and Diagnosis.Fatima M. Salman & Samy S. Abu-Naser - 2019 - International Journal of Engineering and Information Systems (IJEAIS) 3 (3):1-10.
    Background: The castor bean is a large grassy or semi-wooden shrub or small tree. Any part of the castor plant parts can suffering from a disease that weakens the ability to grow and eliminates its production. Therefore, in this paper will identify the pests and diseases present in castor culture and detect the symptoms in each disease. Also images is showing the symptom form in this disease. Objectives: The main objective of this expert system is to obtain appropriate diagnosis of (...)
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