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Updated: Jun 15, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

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

Published on: May 15, 2020

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一种定制的机器学习方法用于预测用葡萄糖皮质类药物治疗的严重COVID-19患者的死亡率

F Salton1, M Rispoli2, P Confalonieri1

  • 1Pulmonology Unit, University Hospital of Cattinara, Trieste, Italy;, Department of Medical Surgical and Health Sciences, University of Trieste, Trieste, Italy.

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease
|August 27, 2024
PubMed
概括

机器学习准确地预测了用葡萄糖皮质类药物 (GCs) 治疗的严重COVID-19肺炎患者的死亡风险. 关键预测因素包括C反应性蛋白,氧化水平和患者年龄.

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