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Updated: Jun 23, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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可解释的增强机器方法识别了急性功能衰竭的危险因素

Andreas Körner1, Benjamin Sailer2, Sibel Sari-Yavuz1

  • 1Department of Anesthesiology and Intensive Care Medicine, University Hospital, Hoppe-Seyler-Straße 3, 72076, Tübingen, Germany.

Intensive care medicine experimental
|June 14, 2024
PubMed
概括

可解释的增强机器在重症监护室 (ICU) 患者中确定了急性损伤 (AKI) 主要风险因素. 贫血,肝病和低平均动脉压显著增加了AKI风险,而神经外科手术可能会减少它.

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