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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
07:31

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

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コロンビアのボゴタでは,早期発症対後期発症の妊娠前出血症:伝統的な統計と機械学習を用いた差異的リスク因子の特定と評価

Ayala-Ramírez Paola1,2, Mennickent Daniela3,4, Farkas Carlos3

  • 1Human Genetics Institute, Faculty of Medicine, Pontificia Universidad Javeriana, Bogotá 110231, Colombia.

Biomedicines
|August 28, 2025
PubMed
まとめ

コロンビアの女性では,早期発症の妊娠前出血症 (EOP) と遅発症の妊娠前出血症 (LOP) が異なる危険因子を持っています. 機械学習モデルは,教育と高血圧歴をEOPの主要な予測要因として特定しました.

キーワード:
ラテンアメリカ人工知能早期発症の妊娠前出血症妊娠中の高血圧遅発の妊娠前出血症機械学習リスク要因伝統的な統計

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