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Identifying the Risk Factors Associated with Nursing Home Residents' Pressure Ulcers Using Machine Learning Methods.

Soo-Kyoung LeeJuh-Hyun ShinJinhyun AhnJi Yeon LeeDong Eun Jang
Published in: International journal of environmental research and public health (2021)
The random forest model showed the greatest accuracy for predicting PUs in nursing homes (NHs). Diverse factors that predict PUs in NHs including NH characteristics and residents' characteristics were identified according to diverse ML methods. These factors should be considered to decrease PUs in NH residents.
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