Comparison of risk prediction models for the progression of pelvic inflammatory disease patients to sepsis: Cox regression model and machine learning model

Introduction: The present study presents the development and validation of a clinical prediction model using random survival forest (RSF) and stepwise Cox regression, aiming to predict the probability of pelvic inflammatory disease (PID) progressing to sepsis. Methods: A retrospective cohort study w...

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Autori principali:	Qingyi Wang, Jianing Sun, Xiaofang Liu, Yunlu Ping, Chuwen Feng, Fanglei Liu, Xiaoling Feng
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2024-01-01
Serie:	Heliyon
Soggetti:	MIMIC-IV Pelvic inflammatory disease Sepsis Cox regression Nomogram
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2405844023103562
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