MONITORING OF HEART DISEASE PATIENTS BASED ON MACHINE LEARNING
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The article begins by highlighting the prevalence of heart diseases and the challenges associated with their diagnosis and management. It then delves into the various machine learning approaches, such as supervised and unsupervised learning, deep learning, and ensemble methods, that have been employed for the early detection and risk stratification of heart disease patients. The use of wearable devices and remote monitoring systems for real-time data collection is also discussed, emphasizing their role in enabling continuous patient monitoring.
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Ahmed Al Ahdal, Manik Rakhra, Rahul R. Rajendran, Farrukh Arslan, Moaiad Ahmad Khder. Monitoring Cardiovascular Problems in Heart Patients Using Machine Learning, Journal of Healthcare Engineering Volume 2023, Article ID 9738123, 15 pages.
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