Predicting Mortality in Intensive Care Unit Patients With Heart Failure Using an Interpretable Machine Learning Model: Retrospective Cohort Study.

Journal: Journal of medical Internet research
Published Date: Aug 9, 2022

Abstract

BACKGROUND: Heart failure (HF) is a common disease and a major public health problem. HF mortality prediction is critical for developing individualized prevention and treatment plans. However, due to their lack of interpretability, most HF mortality prediction models have not yet reached clinical practice.

Authors

  • Jili Li
    West China School of Medicine, Sichuan University, Chengdu, China.
  • Siru Liu
    School of Medicine, University of Utah, Salt Lake City, Utah, US.
  • Yundi Hu
    School of Data Science, Fudan University, Shanghai, China.
  • Lingfeng Zhu
    Department of Computer Science, Sichuan University, Chengdu, China.
  • Yujia Mao
    West China School of Medicine, Sichuan University, Chengdu, China.
  • Jialin Liu
    School of Pharmacy, Second Military Medical University, Shanghai, 200433, China.

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