左室拡張期機能の評価:機械学習による左室拡張期圧分類の改善
Faraz H Khan1, Katsuji Inoue1,2, Nobuyuki Ohte3
1Institute for Surgical Research and Department of Cardiology, Oslo University Hospital, Rikshospitalet, and University of Oslo, Oslo, Norway.
機械学習(ML)モデルは、現在のガイドラインと比較して左室拡張期圧(LVFP)の分類精度が向上し、実現可能性が高く、評価のための新規主要パラメータを特定しました。
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