[Prediction of risk of in-hospital death in patients with chronic heart failure complicated by lung infections using interpretable machine learning].

Journal: Nan fang yi ke da xue xue bao = Journal of Southern Medical University
PMID: 38977344

Abstract

OBJECTIVE: To predict the risk of in-hospital death in patients with chronic heart failure (CHF) complicated by lung infections using interpretable machine learning.

Authors

  • C Shen
    Department of Urology, Peking University First Hospital; Institute of Urology, Peking University; National Urological Cancer Center, Beijing 100034, China.
  • S Wang
    Bruker Optics Inc, Fremont, CA, United States of America.
  • R Zhou
    Department of Clinical Laboratory, Beijing Chaoyang Hospital Affiliated to Capital Medical University, Beijing 100012, China.
  • Y Wang
    1 School of Public Health, Capital Medical University, Beijing, China.
  • Q Gao
    School of Basic Medical Sciences, Bengbu Medical University, Bengbu 233030, China.
  • X Chen
    Division of Infectious Diseases,The People's Hospital of Meizhou,Meizhou,China.
  • S Yang
    Neural Engineering Data Consortium, Temple University, Philadelphia, Pennsylvania, USA, {scott.yang, silvia.lopez, meysam, obeid, picone}@temple.edu.

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