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Updated: Sep 10, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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機械学習による非実験的リスク因子による高血圧のスクリーニング:インドネシアにおける遡及的横断研究

Reza Ishak Estiko1, Bambang Widyantoro2, Dafsah Arifa Juzar2

  • 1Prof. Dr. Margono Soekarjo General Hospital, Purwokerto, Central Java, Indonesia.

BMJ open
|August 27, 2025
PubMed
まとめ

機械学習モデルでは インドネシアの大規模な集団で 11の非実験的リスク因子を用いて高血圧を効果的に検診しています XGBoostモデルは 優れたパフォーマンスを示し,家族歴と年齢を 重要な予測要因として特定しました.

キーワード:
高血圧機械学習大量検診危険因子

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