Li Wei, Honglei Lv, Chenqi Yue, Ying Yao, Ning Gao, Qianwen Chai, Minghui Lu
OBJECTIVES: To construct pressure injury risk prediction models for emergency patients based on different machine learning algorithms, to optimize the best model, and to provide a suitable assessment tool for preventing the occurrence of pressure injuries in emergency patients. METHODS: A convenience sampling was used to select 312 patients admitted to the emergency department of a tertiary care hospital in Tianjin, China, from May 2022 to March 2023, and the patients were divided into a modeling group (n = 218) and a validation group (n = 94) in a 7:3 ratio...
March 2, 2024: International Emergency Nursing