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Updated: Feb 14, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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Constructing and Visualizing Models using Mime-based Machine-learning Framework

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病院前の環境における重症患者の24時間の死亡リスクを説明するためのモデルに基づく機械学習: 遡及的なコホート研究

Shengtao Li1, Zhanzhan Li2, Ruqiao Luo1

  • 1Department of Emergency, the First Hospital of Changsha, the Affiliated Hospital of Changsha, Xiangya School of Medicine, Central South University, Changsha, Hunan Province, China.

PloS one
|February 12, 2026
PubMed
まとめ

新しい機械学習モデルは,病院前と入院前データを用いて,重症患者の24時間の死亡率を正確に予測します. ランダムフォレストモデルは,重要な生命的徴候を活用し,緊急医療における早期リスク評価のための貴重なツールを提供します.

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