Preadmission assessment of extended length of hospital stay with RFECV-ETC and hospital-specific data

Abstract Background Patients who exceed their expected length of stay in the hospital come at a cost to stakeholders in the healthcare sector as bed spaces are limited for new patients, nosocomial infections increase and the outcome for many patients is hampered due to multimorbidity after hospitali...

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Главные авторы:	Chinedu I. Ossai, David Rankin, Nilmini Wickramasinghe
Формат:	Artigo
Язык:	Inglês
Опубликовано:	BMC 2022-07-01
Серии:	European Journal of Medical Research
Предметы:	Extended length of hospital stay Recursive feature elimination Extra tree classifier Multivariate logistic regression Admission risk
Online-ссылка:	https://doi.org/10.1186/s40001-022-00754-4
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