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Updated: Feb 13, 2026

An R-Based Landscape Validation of a Competing Risk Model
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オーソケラトロジーのレンズの着用後の長期制御結果のための予測モデルの確立と検証: 5年間のコホート研究

Zixun Wang1, Xiaoling Zhang2, Xiaoxue Hu3

  • 1Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin, China.

Frontiers in cell and developmental biology
|February 12, 2026
PubMed
まとめ

この研究は,オーソケラトロジー (Ortho-K) のレンズ着用のための予測モデルを開発し,軸長制御が悪いリスクのある子供たちを特定しました. 重要な予測要因には,時間の経過とともに軸長の変化が含まれ,近視管理のための早期警告を提供します.

キーワード:
SHAPの説明可能性軸の長さを制御する軸長制御コホート研究はコホート研究です.ロジスティック回帰法 (logistic regression) が使われています.ミオピア (近視) とは,近視 (近視) である.ノモグラム・ノモグラムオーソケラトロジー (オルソケラトロジー)予測モデルの予測モデルです.

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