Prediction of 30-day unplanned hospital readmission through survival analysis

Background and Objective: Unplanned hospital readmissions are a severe and recurrent problem that affects all health systems. Estimating the risk of being readmitted the following days after discharge is difficult since many heterogeneous factors can influence this. The extensive work concerning thi...

詳細記述

書誌詳細

出版年:	Heliyon
主要な著者:	Pedro Pons-Suñer, Laura Arnal, François Signol, M. Jose Caballero Mateos, Bernardo Valdivieso Martínez, Juan-Carlos Perez-Cortes
フォーマット:	論文
言語:	英語
出版事項:	Elsevier 2023-10-01
主題:	30-day hospital readmission Survival analysis Discharge decision-making Machine learning Right censoring
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S2405844023081501