Interpretable Machine Learning Prediction Model for Predicting Mortality Risk of ICU Patients With Pressure Ulcers Based on the Braden Scale: A Clinical Study Based on MIMIC-IV.

Journal: Journal of clinical nursing
Published Date:

Abstract

AIMS: This study was to create an interpretable machine learning model to predict the risk of mortality within 90 days for ICU patients suffering from pressure ulcers.

Authors

  • Binyan Chen
    College of Nursing, Wenzhou Medical University, Wenzhou, China.
  • Jinghao Zhou
    College of Nursing, Wenzhou Medical University, Wenzhou, China.
  • Shengzhang Chen
    College of Nursing, Wenzhou Medical University, Wenzhou, China.
  • Fei Wang
    Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, United States.
  • Ping Liu
    Department of Cardiology, the Second Hospital of Shandong University, 250033 Jinan, Shandong, China.
  • Ying Xu
    School of Biological and Food Engineering Changzhou University Changzhou Jiangsu China.
  • Pan Huang
    College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China.
  • Fuman Cai
    College of Nursing, Wenzhou Medical University, Wenzhou, China.