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Updated: Mar 15, 2026

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

Published on: May 15, 2020

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用于预测COVID-19患者临床结果的贝叶斯网络:在资源有限的环境中进行的一项回顾性研究

Tombolaza Canut Filamant1, Angelo Fulgence Raherinirina2, André Totohasina3

  • 1Thematic Doctoral School Science, Culture, Society and Development, University of Toamasina, Toamasina, Madagascar.

PloS one
|March 13, 2026
PubMed
概括

这项研究开发了一个可解释的贝叶斯网络,用于在资源有限的环境中预测COVID-19患者的结果. 该模型表现出高准确性,并优于其他机器学习方法,提供了关键的临床见解.

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Constructing and Visualizing Models using Mime-based Machine-learning Framework

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