Development and Validation of Machine Learning-Based Models to Predict In-Hospital Mortality in Life-Threatening Ventricular Arrhythmias: Retrospective Cohort Study.

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作者： Le,Li ^[1] ; Ligang,Ding ^[1] ; Zhuxin,Zhang ^[1] ; Likun,Zhou ^[1] ; Zhenhao,Zhang ^[1] ; Yulong,Xiong ^[1] ; Zhao,Hu ^[1] ; Yan,Yao ^[1]

作者单位： National Center for Cardiovascular Diseases, Fu Wai Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China. ^[1]

关键词 cardiac critical care life-threatening ventricular arrhythmia machine learning mortality prediction model

主题词人类(Humans);医院死亡率(Hospital Mortality);回顾性研究(Retrospective Studies);心律失常, 心性(Arrhythmias, Cardiac);算法(Algorithms)

DOI 10.2196/47664

PMID 37966870

发布时间 2023-12-01

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Journal of medical Internet research

2023年25卷

e47664页

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Development and Validation of Machine Learning-Based Models to Predict In-Hospital Mortality in Life-Threatening Ventricular Arrhythmias: Retrospective Cohort Study.

Journal of medical Internet research

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Journal of medical Internet research

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Development and Validation of Machine Learning-Based Models to Predict In-Hospital Mortality in Life-Threatening Ventricular Arrhythmias: Retrospective Cohort Study.

Journal of medical Internet research

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Journal of medical Internet research

相关期刊

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