Construction of a disease risk prediction model for postherpetic pruritus by machine learning
Zheng Lin,
Yuan Dou,
Ru-yi Ju
et al.
Abstract:BackgroundPostherpetic itch (PHI) is an easily overlooked complication of herpes zoster that greatly affects patients' quality of life. Studies have shown that early intervention can reduce the occurrence of itch. The aim of this study was to develop and validate a predictive model through a machine learning approach to identify patients at risk of developing PHI among patients with herpes zoster, making PHI prevention a viable clinical option.MethodWe conducted a retrospective review of 488 hospitalized patie… Show more
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