Development and validation of a prediction model for coronary heart disease risk in depressed patients aged 20 years and older using machine learning algorithms.

Journal: Frontiers in cardiovascular medicine
Published Date: Jan 9, 2025

Abstract

BACKGROUND: Depression is being increasingly acknowledged as an important risk factor contributing to coronary heart disease (CHD). Currently, there is no predictive model specifically designed to evaluate the risk of coronary heart disease among individuals with depression. We aim to develop a machine learning (ML) model that will analyze risk factors and forecast the probability of coronary heart disease in individuals suffering from depression.

Authors

  • Yicheng Wang
    Shengli Clinical Medical College of Fujian Medical University, Fujian Medical University, Fuzhou, Fujian, China.
  • Chuan-Yang Wu
    Department of Cardiology, Youxi County General Hopital, Sanming, Fujian, China.
  • Hui-Xian Fu
    Department of Cardiology, Changji Prefecture People's Hospital in Xinjiang Uygur Autonomous Region, Changji, Xinjiang, China.
  • Jian-Cheng Zhang
    Shengli Clinical Medical College of Fujian Medical University, Fujian Medical University, Fuzhou, Fujian, China.

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