電子健康記録の連携による多発性硬化症研究:決定論的、確率論的、機械学習的連携手法の比較研究
Ohoud Almadani1, Yasser Albogami2, Adel Alrwisan1
1Saudi Food and Drug Authority, 4904 northern ring branch rd, 13513, Hittin Dist, Unit number : 1, Riyadh, 13513, Saudi Arabia, 966 555300732.
JMIR medical informatics
|February 4, 2026
まとめ
一意の識別子がない場合に、多発性硬化症(MS)研究のための匿名化された患者データをリンクするために、確率論的リンクが効果的に機能します。この手法は、リアルワールドエビデンス生成のためのデータ統合を強化します。
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