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Updated: Feb 25, 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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基于XGBoost和基因算法设计一种可解释的算法,用于预测COVID-19患者的住院需求

Azadeh Abkar1, Mahdi Mehrabi2, Amin Golabpour3

  • 1Department of Computer Engineering, Shi.C., Islamic Azad University, Shiraz, Iran.

Scientific reports
|February 23, 2026
PubMed
概括

这项研究开发了一个可解释的AI框架来预测COVID-19住院风险. 混合系统将XGBoost的预测与可解释的规则相结合,改善了门诊患者的临床决策.

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