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Updated: Sep 10, 2025

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長期的健康情報学データを用いた再発的なイベントのグローバルおよびエピソード固有の予測

Yifei Sun1, Sy Han Chiou2, Chiung-Yu Huang3

  • 1Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY 10032.

Journal of the American Statistical Association
|August 22, 2025
PubMed
まとめ

この研究は,再発性臨床イベントを予測するための生存木の集合を用いた新しい非パラメトリックの枠組みを導入しています. この新しいアプローチは慢性疾患のリスク予測の精度を向上させ,既存のモデルを上回ります.

キーワード:
ダイナミックリスク予測アンサンブルギャップタイム医療記録ランダムな森林

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