In public healthcare, machine learning aids disease diagnosis and prediction. Health apps allow individuals to monitor health parameters like heart rate and sleep patterns, aiding early issue detection. However, most apps only track health, lacking disease prediction. "Health Mentor," a cutting-edge app, aims to revolutionize healthcare by predicting diabetes and cardiovascular diseases. Its user-friendly interface and robust algorithms analyze user data and medical history to calculate personalized risk scores. Random forest handles large datasets for heart disease prediction, while Support Vector Machine predicts diabetes. Early warnings and risk alerts empower timely interventions. The app also tracks vital signs-blood pressure, sugar, and cholesterol levels-enhancing prediction accuracy.
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Aryalekshmi et al. (2024) studied this question.
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