Using machine learning-based algorithms to construct cardiovascular risk prediction models for Taiwanese adults based on traditional and novel risk factors.

Journal: BMC medical informatics and decision making
PMID: 39039467

Abstract

OBJECTIVE: To develop and validate machine learning models for predicting coronary artery disease (CAD) within a Taiwanese cohort, with an emphasis on identifying significant predictors and comparing the performance of various models.

Authors

  • Chien-Hsiang Cheng
    Department of Respiratory Therapy, Taichung Veterans General Hospital, Taichung, 40705, Taiwan.
  • Bor-Jen Lee
    Department of Critical Care Medicine, Tungs' Taichung Metroharbor Hospital, Taichung, Taiwan.
  • Oswald Ndi Nfor
    Department of Public Health, Institute of Public Health, Chung Shan Medical University, No. 110, Sec. 1 Jianguo N. Rd, Taichung City, 40201, Taiwan.
  • Chih-Hsuan Hsiao
    Department of Public Health, Institute of Public Health, Chung Shan Medical University, No. 110, Sec. 1 Jianguo N. Rd, Taichung City, 40201, Taiwan.
  • Yi-Chia Huang
    Department of Nutrition, Chung Shan Medical University, Taichung, Taiwan, ROC.
  • Yung-Po Liaw
    Department of Public Health, Institute of Public Health, Chung Shan Medical University, No. 110, Sec. 1 Jianguo N. Rd, Taichung City, 40201, Taiwan. Liawyp@csmu.edu.tw.

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