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Updated: Jun 17, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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一个预测模型来探索严重COVID-19的风险因素

Fen-Hong Qian1, Yu Cao2, Yu-Xue Liu2

  • 1Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Jiangsu University, No.438, Jiefang Road, Jingkou District, Zhenjiang, Jiangsu, China. zhaoqian604@126.com.

Scientific reports
|August 6, 2024
PubMed
概括

这项研究确定了严重COVID-19的关键风险因素,包括中性粒细胞与淋巴细胞的比率 (NLR) 和乳酸脱酶 (LDH). 开发了一个预测模型来评估COVID-19严重性风险,帮助临床决策.

关键词:
在 COVID-19 疫情中,临床特征 临床特征中性粒细胞与淋巴细胞的比率.这个名字叫做Nomogram.预测模型的预测模型.风险因素 风险因素

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