Predicting the Development of Surgery-Related Pressure Injury Using a Machine Learning Algorithm Model.

Journal: The journal of nursing research : JNR
Published Date:

Abstract

BACKGROUND: Surgery-related pressure injury (SRPI) is a serious problem in patients who undergo cardiovascular surgery. Identifying patients at a high risk of SRPI is important for clinicians to recognize and prevent it expeditiously. Machine learning (ML) has been widely used in the field of healthcare and is well suited to predictive analysis.

Authors

  • Ji-Yu Cai
    BSN, Graduate Student, School of Nursing, Nantong University, Nantong City, Jiangsu, People's Republic of China.
  • Man-Li Zha
    BSN, Graduate Student, School of Nursing, Nantong University, Nantong City, Jiangsu, People's Republic of China.
  • Yi-Ping Song
    BSN, Graduate Student, School of Nursing, Nantong University, Nantong City, Jiangsu, People's Republic of China.
  • Hong-Lin Chen
    MS, Associate Professor, School of Nursing, Nantong University, Nantong City, Jiangsu, People's Republic of China.