A machine learning model to predict critical care outcomes in patient with chest pain visiting the emergency department.

Journal: BMC emergency medicine
PMID: 34620086

Abstract

BACKGROUND: Currently, the risk stratification of critically ill patient with chest pain is a challenge. We aimed to use machine learning approach to predict the critical care outcomes in patients with chest pain, and simultaneously compare its performance with HEART, GRACE, and TIMI scores.

Authors

  • Ting Ting Wu
    The School of Nursing, Fujian Medical University, Fuzhou, Fujian, China.
  • Ruo Fei Zheng
    Department of Emergency, Fujian Provincial Hospital, Fuzhou, Fujian, China.
  • Zhi Zhong Lin
    Department of Radiotherapy, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, China.
  • Hai Rong Gong
    Department of Nursing, Fujian Health College, Fuzhou, Fujian, China.
  • Hong Li
    Department of Public Health Sciences, Medical College of South Carolina, Charleston, SC.

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