Every Month Last Day ISSN (online): 1934-9955

International Journal Of Imaging

Science And Engineering

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Abstract

A DATA-DRIVEN APPROACH TO CARDIOVASCULAR STROKE PREDICTION USING MACHINE LEARNING TECHNIQUES

Author: N. Bhavana, J. Akshay, K. Narasimha, Mr.M.Ramesh

Abstract:

Finance Cardiovascular stroke is a major health concern in India, contributing significantly to mortality and disability. According to the Indian Council of Medical Research (ICMR), stroke accounts for approximately 15% of all cardiovascular- related deaths in the country. With an incidence rate of about 1.8 million stroke cases annually, a new case arises every 20 seconds. The primary risk factors include hypertension, diabetes, obesity, high cholesterol, smoking, and alcohol consumption. Due to increasing urbanization, sedentary lifestyles, and an aging population, stroke cases are expected to rise, emphasizing the need for early detection and intervention. The study aims to develop a machine learning-based stroke prediction. Traditional stroke prediction methods rely on generalized risk scoring (like FSRP), which often lacks accuracy as it does not consider complex relationships between multiple risk factors. Manual patient record reviews by clinicians are time-consu

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