Author(s) :   Hiimanshu Nilkanth Gaidhane

Abstract : This study uses a dataset from a hospital system to identify parameters associated with stroke incidence. The collection contains 5110 records, each with demographics, medical history, and lifestyle characteristics. Age, gender, hypertension status, history of heart disease, marital status, profession type, place of residence, average glucose level, body mass index (BMI), smoking status, and stroke incidence are all relevant factors.

The data analysis demonstrates significant relationships between stroke occurrence and a number of variables, including age, hypertension, heart disease, glucose levels, and smoking status. Notably, age, hypertension, and heart disease are all associated with a significantly higher risk of stroke. Furthermore, lifestyle factors such as smoking and high blood glucose levels contribute to an increased stroke risk.

This study provides valuable information for healthcare practitioners, enabling targeted interventions and preventive measures for high-risk groups. The findings emphasize the need of regular health monitoring and lifestyle adjustments in lowering stroke risk. More research is needed to better understand causative pathways and develop predictive models for avoiding strokes.

Keywords: Stroke, Stroke Prevention, Healthcare Data Analysis, Risk Factors, Demographics, Hypertension, Heart Disease, Glucose Levels, Body Mass Index (BMI), Smoking Status, Predictive Modeling, Health Monitoring, Lifestyle Factors, Targeted Interventions, Stroke Epidemiology, Public Health, Medical Data, Chronic Disease Management, Urban vs. Rural Health, Marital Status and Health.

DOI : 10.61161/ijarcsms.v12i7.27

Pages : 227-232

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