USING MACHINE LEARNING TO IDENTIFY SIGNS OF PREMATURE AGING
Abstract. Premature pathological aging is often associated with cardiovascular diseases, which result from a combination of socio-economic, metabolic, behavioral, and environmental risk factors. These factors include gender differences, age, high blood pressure, obesity, low physical activity, smoking, excessive alcohol consumption, elevated cholesterol and glucose levels, and diabetes. All processes in the human body are reflected […]