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73 articles for “Heart Disease”
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A Machine Learning Based Artificial Intelligence Model for Detecting Heart Illness
Abstract: This study centers around the improvement of an artificial intelligence- and computerized reasoning-based heart sickness determination framework. We exhibit how AI can help with foreseeing whether an individual will get cardiovascular infection. In this review, a Python-based application for medical care research is created since it is more reliable and helps track and lay out many kinds of well-being observing applications. We show information handling, which incorporates working with all …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 50–58 Read article
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Diabetes Prediction Using ML Techniques
Abstract: Diabetes mellitus, commonly referred to as diabetes, denotes a cluster of prevalent endocrine disorders characterized by persistent elevated levels of blood sugar. Diabetes is classified into two main types: type 1 and type 2. Type 1 diabetes arises when the body is unable to produce insulin, while type 2 diabetes involves either insulin resistance or insufficient insulin production. Early detection and intervention are essential to reduce its harmful impacts. The …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Predicting and Prohibiting the Risk of Heart Failure Using Machine Learning
Abstract: It is challenging to estimate the likelihood of complex chronic disease while treating conditions like heart failure. The application of machine learning, an area of artificial intelligence, in cardiovascular care is growing quickly. In essence, it defines how computers classify and understand data, or choose a task with or without human intervention. The theoretical underpinnings of machine learning are models that accept input data (such as images or text) and …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
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AI-Based Preventive Healthcare Using Quantum Computing
Abstract: With its improved performance and capabilities, quantum machine learning (QML) is becoming a promising field, especially in the healthcare industry for tasks like early heart disease prediction. In this work, a Quantum Support Vector Classifier (QSVC) is proposed as the basic classifier for a bagging ensemble learning model. Shapley Additive explanations (SHAP) are used to evaluate the significance of each attribute in the predictions in order to improve explainability. Using …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 Read article
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Coronary Vascular Disease: A General Review with Specific Reference to Etiology
Abstract: Cardiovascular disease (CVD), the foremost cause of mortality worldwide, has surged by 60% globally, reaching 20.5 million deaths in 2021 from 12.1 million in 1990, as per the latest report from the World Health Federation. While this increase is alarming on a global scale, it raises even greater concerns in countries like India where heart ailments are afflicting individuals at a younger age. The escalation of CVD among the younger …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 1, 2024 · pp. 36–42 Read article
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Classifying Abnormalities in Heartbeat Sound
Abstract: Heartbeat sounds play a major role in the detection of various diseases such as heart disease, hyperthyroidism, and high blood pressure in their early stages. In the proposed method, various abnormal and healthy heartbeat audio signals are given as input and the features are extracted using MFCC (mel-frequency cepstral coefficients). Then, a deep learning approach is applied in which the MFCC audio signals are sent to the CNN (convolutional neural …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 1, 2024 · pp. 24–31 Read article
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The Rising Burden of Heart Attacks: Causes, Trends, and Prevention Strategies
Abstract: Heart attacks, or myocardial infarctions, remain a leading cause of morbidity and mortality worldwide, with their incidence rising steadily across diverse populations. This review explores the increasing prevalence of heart attacks, emphasizing traditional risk factors, such as poor diet, physical inactivity, smoking, and medical conditions like hypertension, diabetes, and hyperlipidemia. It also highlights emerging risk factors, such as chronic infections, pollutants, substance abuse, and the lasting cardiovascular effects of COVID-19. …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 2, 2025 · pp. 1–11 Read article
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Heart Attack Prediction Using Machine Learning
Abstract: Heart attacks have become a prevalent and serious condition in recent years due to a variety of causes. Numerous variables, including age, sex, fat, and others, can be used to predict it. In the current study, it was found that a data set with 13 parameters and 302 distinct data values, collected from a Kaggle dataset to assess patient condition, was covered. This article delves into the application of machine …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 1, 2023 · pp. 8–13 Read article
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IoT-based Heart Attack Prediction System Using Machine Learning
Abstract: Heart disease, particularly heart attacks, is one of the leading causes of mortality worldwide. Timely detection and prompt intervention play a vital role in significantly improving the survival rates of individuals at risk of cardiac events. Unfortunately, most traditional healthcare systems are not equipped with mechanisms for continuous, real-time monitoring of patients' cardiovascular health. This limitation makes it extremely difficult for healthcare providers to identify warning signs early enough to …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 2, 2025 · pp. 1–5 Read article
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Machine Learning-Driven Early Prediction and Prevention of Obesity and Overweight
Abstract: Obesity has become a global health concern, with its prevalence reaching alarming levels in recent years. By classifying obesity-level, healthcare professionals can assess an individual's risk and develop appropriate treatment and prevention strategies. Healthcare professionals can customize interventions and create personalized treatment plans based on individual needs. This paper delivers a system provides an overview of obesity, highlighting the importance of accurate and standardized categorization for effective management and treatment …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 31–40 Read article
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A Web Application for Predicting Diabetes Using Machine Learning Methods
Abstract: Diabetes is a long-term disease caused by high glucose quantity in the blood. It has the potential to result in serious health complications like heart disease, hypertension, and ocular damage. It is good to identify any health issues as early as possible to get the right medical treatment and make necessary lifestyle adjustments. One makes use of machine learning techniques to predict diabetes and develop treatment options using actual cases. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 92–102 Read article
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Flavonoids: An Answer to Chronic Diseases
Abstract: It has been shown that inflammation is closely associated with the onset or exacerbation of quite a few non-communicable human diseases. Several chronic diseases, such as cancer, diabetes, cardiovascular dysfunction and central nervous system damage are also developed following tissue injury produced by the high fragments of low-grade inflammation surrounding a compromised tissue or organ due to its acquired genomic changes. Current therapies for many of these diseases are associated …
Published in International Journal of Advance in Molecular Engineering · Vol. 2, Issue 1, 2024 · pp. 31–37 Read article
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The Role of Pyruvate Dehydrogenase in Non-Alcoholic Fatty Liver Disease: Therapeutic Insights and Future Directions
Abstract: Non-alcoholic fatty liver disorders (NAFLD) are defined by the accumulation of excess fat in the liver that has no other cause, such as drinking alcohol. Pyruvate dehydrogenase has been established as an alternative treatment for this disorder. NAFLD pathogenesis is complex and includes oxidative stress inflammatory processes and mitochondrial dysfunction. Impaired liver fatty acid oxidation and glucose oxidation are significant individuals in developing NAFLD, and strategies to reverse these defects …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 44–51 Read article
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Advancing Healthcare Systems: A Machine Learning Approach to Multi-Disease Prediction
Abstract: The integration of machine learning algorithms in healthcare has revolutionized the way we approach disease prediction and diagnosis. An attempt to employ machine learning techniques to forecast numerous diseases is presented in this study. A diverse dataset containing patient records, medical history, and relevant features for various diseases was used to develop predictive models. Feature selection and normalization were among the preprocessing methods used to clean and prepare the data. …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 1, 2025 · pp. 1–6 Read article
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Harnessing the Healing Potential of Khamira Abresham Hakim Arshad Wala in the Management of Different Health Conditions
Abstract: Khamira Abresham Hakim Arshad Wala (KAHAW) is a potent Unani remedy that plays a vital role in fortifying the body's vital organs and efficiently reducing free radicals by enhancing levels of antioxidant enzymes. The term 'Khamira' originated from the Unani system of medicine and was first introduced by the esteemed Hakeem during the Mughal period. This preparation involves incorporating herbal drugs into a base (Qiwam) containing sugar or honey, resulting …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 11, Issue 1, 2024 · pp. 7–13 Read article
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Menopause as a Stage of Life and A Guide to A Healthy Menopause Transition
Abstract: Menopause is a normal physiological stage of life of a woman that occurs between 45 and 55 years of age group. When a woman enters menopause, her ability to conceive and her ovarian activity permanently cease. The menopausal transition is a crucial factor in many symptoms that are prevalent in middle age and may be linked to chronic illnesses and aging-related disorders. Appropriate identification and treatment of signs and symptoms …
Published in International Journal of Midwifery Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 1–8 Read article
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Detection of Active Compounds in Ulothrix sp. Algae
Abstract: The study included the identification of some active chemical compounds from blue-green algae Ulothrix and the production of many active compounds using algae extract. Algae are a talented cause of defiant corpulence mediators, as plump positions are an international hazard to human wellbeing. It is also linked to metabolic syndrome, type 2 diabetes, heart disease and blood vessels, anti-obesity agents from algae are represented by four main compounds with (Phlorotannins, …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 3, 2024 · pp. 39–43 Read article
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A Review Article on the Human Blood Groups in Relation to Healthy Longevity
Abstract: After significant discovery of the ABO blood groups of human beings by Karl Landsteiner, a number of works have been carried out on different types of blood groups like MN type, Q types, etc. and in the same time, number of researches were also carried regarding different aspects of blood groups like its genetic analysis, its inheritance, its role in paternity test, its role in blood transfusion and general physiology …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 3, 2024 · pp. 1–5 Read article
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A Review on The effect of Polycystic Ovary Syndrome on some Hormonal and Metabolic Disturbances in Women
Abstract: Polycystic ovary syndrome (PCOS) is a common hormonal condition that affects women of reproductive age. It usually begins to appear during adolescence. The ovaries produce an abnormal amount of "androgens", which are male sex hormones that are usually found in women in small quantities. Ovarian syndrome causes hormonal imbalances, irregular menstrual cycles, increased cysts in the ovaries, in addition to hair growth all over the body, acne, and pain in …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 1, 2025 · pp. 21–28 Read article
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Fenugreek: A Traditional Herb with Modern Health Applications
Abstract: Fenugreek (Trigonella foenum-graecum) is a remarkable herb with a rich history that stretches back over 4, 000 years. It has played an important role in traditional medicine systems like Ayurveda, Unani, and Traditional Chinese Medicine. Cultivated widely in places like India, the Mediterranean, and North Africa, fenugreek’s seeds and leaves have been used to treat a variety of ailments, from digestive and respiratory issues to skin problems and inflammation. Recent …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 1, 2024 · pp. 11–21 Read article