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Updated: May 20, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

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在已知和未检测到的SARS-CoV-2感染后,基于症状概况预测长期后果的风险工具

Rieke Baumkötter1,2, Simge Yilmaz1,2, Julian Chalabi1

  • 1Preventive Cardiology and Preventive Medicine, Center for Cardiology, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.

European journal of epidemiology
|May 19, 2025
PubMed
概括

感染SARS-CoV-2后的长期症状很常见,影响已知感染的36.4%. 开发了机器学习工具,以预测和诊断后COVID综合征 (PCS) 的风险和存在.

关键词:
诊断工具 诊断工具 诊断工具机器学习 机器学习基于人口的队列研究.在COVID后出现的综合征.风险评估 风险评估 风险评估这就是SARS-CoV-2病毒.

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