Optimizing discharge after major surgery using an artificial intelligence-based decision support tool (DESIRE): An external validation study.

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作者： Davy,van de Sande ^[1] ; Michel E,van Genderen ^[2] ; Cornelis,Verhoef ^[3] ; Joost,Huiskens ^[4] ; Diederik,Gommers ^[5] ; Edwin,van Unen ^[4] ; Renske A,Schasfoort ^[6] ; Judith,Schepers ^[7] ; Jasper,van Bommel ^[5] ; Dirk J,Grünhagen ^[3]

作者单位： Department of Adult Intensive Care, Erasmus University Medical Center, Rotterdam, The Netherlands. Electronic address: https://twitter.com/davy_sande. ^[1] Department of Adult Intensive Care, Erasmus University Medical Center, Rotterdam, The Netherlands. Electronic address: m.vangenderen@erasmusmc.nl. ^[2] Department of Surgical Oncology, Erasmus MC Cancer Institute University Medical Center, Rotterdam, The Netherlands. ^[3] SAS Institute, Health, Huizen, The Netherlands. ^[4] Department of Adult Intensive Care, Erasmus University Medical Center, Rotterdam, The Netherlands. ^[5] Department of Surgery, Treant Care Group, Emmen, The Netherlands. ^[6] Department of Business Intelligence, Treant Care Group, Emmen, The Netherlands. ^[7]

主题词人工智能(Artificial Intelligence);住院(Hospitalization);人类(Humans);病人出院(Patient Discharge);ROC曲线(ROC Curve);回顾性研究(Retrospective Studies)

DOI 10.1016/j.surg.2022.03.031

PMID 35525621

发布时间 2022-09-06

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