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Updated: Jan 13, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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基于机器学习的短期预测COVID-19入院患者使用例行医院患者数据

Martin S Wohlfender1, Judith A Bouman2, Olga Endrich3

  • 1Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland; Multidisciplinary Center for Infectious Diseases, University of Bern, Bern, Switzerland.

Epidemics
|January 8, 2026
PubMed
概括

XGBoost和废水数据改善了COVID-19住院预测. 这种先进的传染病建模有助于在流行病期间做出公共卫生决策.

关键词:
在 COVID-19 疫情中,电子健康记录是电子健康记录.预测 预测 预测 预测医院的入院情况地方一级 地方一级机器学习是机器学习.废水是废水,废水就是废水.

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