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Updated: Sep 9, 2025

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半パラメトリック統計モデリングのアプローチを比較して,不規則で稀にサンプルを採取した曲線の動的分類

Ruben Deneer1,2, Zhuozhao Zhan3, Edwin Van den Heuvel3

  • 1Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.

Statistical methods in medical research
|September 4, 2025
PubMed
まとめ

機能的回帰モデルは,動的に患者を分類することで,心臓手術後の合併症の早期発見を改善します. これらの統計的アプローチは,特に過去の患者データを用いる場合,従来の方法よりも優れています.

キーワード:
縦断分析機能回帰汎用添加モデル不規則な稀なデータ

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