MedAi: A Smartwatch-Based Application Framework for the Prediction of Common Diseases Using Machine Learning

Health information technology is one of today’s fastest-growing and most powerful technologies. This technology is used predominantly for predicting illness and obtaining medications quickly because visiting a doctor and performing pathological tests can be time-consuming and expensive. This has prompted many researchers to contribute by developing new disease prediction systems or improving existing ones. This paper presents a smartwatch-based prediction system named ‘MedAi’ for multiple diseases such as ischemic heart disease, hypertension, respiratory disease, hyperthyroidism, hypothyroidism, stroke, myocardial infarction, kidney failure, gallstones, diabetes, dyslipidemia using machine learning algorithms. It comprises three core modules: a prototype smartwatch ‘Sense O’Clock’ equipped with eleven sensors to collect bodily statistics, a machine learning model to analyze the data and make a prediction, and a…