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Exploring relationships between in-hospital mortality and hospital case volume using random forest: results of a cohort study based on a nationwide sample of German hospitals, 2016-2018.

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第一作者： Martin,Roessler

第一单位： Center for Evidence-based Healthcare, University Hospital Carl Gustav Carus and Medical Faculty at the Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany. martin.roessler@uniklinikum-dresden.de.

作者： Martin,Roessler ^[1] ; Felix,Walther ^[2] ; Maria,Eberlein-Gonska ^[3] ; Peter C,Scriba ^[4] ; Ralf,Kuhlen ^[4] ; Jochen,Schmitt ^[5] ; Olaf,Schoffer ^[5]

作者单位： Center for Evidence-based Healthcare, University Hospital Carl Gustav Carus and Medical Faculty at the Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany. martin.roessler@uniklinikum-dresden.de. ^[1] Center for Evidence-based Healthcare, University Hospital Carl Gustav Carus and Medical Faculty at the Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany.;Quality and Medical Risk Management, University Hospital Carl Gustav Carus Dresden, Dresden, Germany. ^[2] Quality and Medical Risk Management, University Hospital Carl Gustav Carus Dresden, Dresden, Germany. ^[3] IQM Initiative Qualitätsmedizin e.V., Berlin, Germany. ^[4] Center for Evidence-based Healthcare, University Hospital Carl Gustav Carus and Medical Faculty at the Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany. ^[5]

关键词 Cohort study Hospital mortality Nonparametric modelling Random Forest Risk factors Volume-outcome relationship

医学主题词队列研究(Cohort Studies);医院死亡率(Hospital Mortality);医院(Hospitals);人类(Humans);Logistic模型(Logistic Models);模型, 统计学(Models, Statistical)

DOI 10.1186/s12913-021-07414-z

PMID 34974828

发布时间 2022-01-07

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