Abstract: This Study will explore how the IoT and machine learning predict heart disease risks through real-time wearable device and sensor data. The Cleveland and Hungarian datasets have relevant ...
Mammograms, which are key to detecting breast cancer, could be paired with artificial intelligence to predict heart disease ...
A machine-learning model based on Transformer architecture, a form of artificial intelligence originally developed for ...
Smartphone apps, fitness trackers and wearable devices help people with heart disease get more physical activity in their ...
Objectives To evaluate the prognostic value of carotid-femoral pulse wave velocity (cfPWV), a marker of aortic stiffness, for ...
Abstract: Atherosclerosis in the coronary arteries is the cause of heart disease (CAD), which is a consequence of coronary disappointment and blood vessel failure. To establish that CAD is present, a ...
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Objective To develop and validate machine learning (ML)-based models to predict lymph node metastasis (LNM) in patients with gastric cancer (GC). Design Retrospective cohort study. Setting Second ...
About Developed a Heart Disease Prediction System using Machine Learning and Deep Learning techniques. Implemented SVM, Logistic Regression, Random Forest, and Decision Tree algorithms along with ...
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