Electronic health record-based prediction models for in-hospital adverse drug event diagnosis or prognosis: a systematic review.

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第一作者： Izak A R,Yasrebi-de Kom

第一单位： Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Amsterdam, The Netherlands.;Amsterdam Public Health, Amsterdam, The Netherlands.

作者： Izak A R,Yasrebi-de Kom ^[1] ; Dave A,Dongelmans ^[2] ; Nicolette F,de Keizer ^[1] ; Kitty J,Jager ^[3] ; Martijn C,Schut ^[4] ; Ameen,Abu-Hanna ^[1] ; Joanna E,Klopotowska ^[1]

作者单位： Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Amsterdam, The Netherlands.;Amsterdam Public Health, Amsterdam, The Netherlands. ^[1] Amsterdam Public Health, Amsterdam, The Netherlands.;Amsterdam UMC location University of Amsterdam, Department of Intensive Care Medicine, Amsterdam, The Netherlands. ^[2] Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Amsterdam, The Netherlands.;Amsterdam Public Health, Amsterdam, The Netherlands.;Amsterdam Cardiovascular Sciences, Pulmonary Hypertension & Thrombosis, Amsterdam, The Netherlands. ^[3] Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Amsterdam, The Netherlands.;Amsterdam Public Health, Amsterdam, The Netherlands.;Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Clinical Chemistry, Amsterdam, The Netherlands. ^[4]

关键词 adverse drug events electronic health records hospitals machine learning prediction models

主题词成年人(Adult);人类(Humans);电子健康病历(Electronic Health Records);预后(Prognosis);医院(Hospitals)

DOI 10.1093/jamia/ocad014

PMID 36805926

发布时间 2024-09-17

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