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Updated: Jan 16, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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使用普通机器学习方法预测英格兰地区COVID-19住院情况

Haowei Wang1, Kin On Kwok2, Ruiyun Li3

  • 1School of Public Health, Imperial College London, UK; MRC Centre for Global Infectious Disease Analysis and Abdul Latif Jameel Institute for Disease and Emergency Analytics, Imperial College London, UK.

Epidemics
|September 30, 2025
PubMed
概括

通过使用XGBoost和移动数据,实现了准确的COVID-19住院预测. 为了获得更丰富的信息,建议使用N-tile顺序级别,以改善流行病期间的医疗需求管理.

关键词:
在 COVID-19 疫情中,传染病预测 传染病预测机器学习 机器学习这就是SARS-CoV-2病毒.

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