abdulel01/ML-cardio: Final submission

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Authors: Abdullah Elsheikh
Cited by: 0

Abstract

Final version of the Cardiovascular Disease Risk Assessment project. Includes data preprocessing, feature engineering (age_years, BMI), model training (Logistic Regression + Random Forest), evaluation, and risk bands output.

Fields of Study & Subjects

Artificial Intelligence in Healthcare Health Promotion and Cardiovascular Prevention Cardiovascular Health and Risk Factors

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 January 2026