Why the study?
Cardiovascular disease encompasses severe, life-threatening conditions, and machine learning techniques are being explored to improve early diagnosis and treatment.
Can machine learning models accurately predict heart diseases using patient health factors and ECG images?
Can machine learning models accurately predict heart diseases using patient health factors and ECG images?
Machine learning models, particularly Support Vector Machines, can achieve high accuracy in predicting heart diseases from health data.
Answers are grounded in this paper and cite their sources.
ML models reach 94% ECG-based CAD detection accuracy; leaves open prospective validation before clinical adoption.
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Ketan Chavan (2025) studied this question.
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