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Updated: Sep 14, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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个性化风险评分预测和测试政策适应COVID-19基于人口的联系人追踪网络的个人化风险评分预测和测试

Shushan Wu1, Yan Feng2, Huimin Cheng3

  • 1Department of Statistics, University of Georgia, Athens, GA, USA.

Epidemiology and infection
|July 24, 2025
PubMed
概括

接触者追踪有效控制了流行病. 一个新的图形神经网络模型预测了接触者中SARS-CoV-2感染状态,改善了资源有限的设置中的测试策略.

关键词:
追踪COVID-19接触者 追踪关于PCR测试的政策图表神经网络的神经网络个性化风险评分个性化风险评分在半监督状态下.

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