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article · JMIR Cardio

Machine Learning Model for Predicting Coronary Heart Disease Risk: Development and Validation Using Insights From a Japanese Population–Based Study

202512 citationsOpen accessBeni Suef University

Abstract

We developed a model to predict CHD using ML and applied SHAP methods for interpretation. This approach highlights the multifactor nature of CHD risk evaluation, aiming to support health care professionals in identifying risk factors and formulating effective prevention strategies.

Research topics

  • Artificial Intelligence in Healthcare
  • Machine Learning in Healthcare

Sustainable Development Goals

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DOI: 10.2196/68066

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