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Myocardial infarction: A Machine Learning Approach

:מספר הפרויקט
עומר קריגר, ניר פרץ
:שמות הסטודנטים המציגים
פרופ' שרייבמן עדי וד"ר שוויקי דורית
:שם המנחה
סדנת נתונים רפואיים
:שם הסדנה
מסלול אלגוריתמי/מחקרי
:מסלול הסדנה
:תקציר הפרויקט

Myocardial Infarction (MI), commonly known as a heart attack, occurs when blood flow to a part of the heart is blocked for a prolonged period, resulting in tissue damage. As a leading cause of death worldwide, early detection and intervention are crucial in mitigating its impact.

Our project will employ state-of-the-art machine learning techniques to analyze patient data and develop a predictive model for identifying individuals at risk of MI. By various risk factors, we aim to create a personalized risk assessment tool.

The primary objective of our model is to provide individuals with awareness of their risk status. This heightened awareness can significantly reduce diagnosis times during a cardiac event, enabling prompt initiation of treatment and minimizing the associated damages.

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