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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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XGBoostと遺伝子アルゴリズムに基づく説明可能なアルゴリズムを設計し,COVID-19患者の入院ニーズを予測する

Azadeh Abkar1, Mahdi Mehrabi2, Amin Golabpour3

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

Scientific reports
|February 23, 2026
PubMed
まとめ

この研究では,COVID-19の入院リスクを予測するための説明可能なAIフレームワークを開発しました. ハイブリッドシステムは,XGBoostの予測と解釈可能なルールを組み合わせ,外科医の臨床意思決定を改善します.

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