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Updated: Feb 6, 2026

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可解释的机器学习风险预测,在外围插入中央导管的癌症患者中预想不到的输出

Yanying Yang1, Yuwei Yang2, Qiong Liu2

  • 1School of Medicine, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, 621000, People's Republic of China. 2729433618@qq.com.

Scientific reports
|February 4, 2026
PubMed
概括

在癌症患者中,外围插入的中央导管 (PICC-UE) 的意外输出受生活质量和自我管理的影响. 整合这些因素的新加权生活质量 (WQOL) 度量是PICC-UE的关键预测指标.

关键词:
癌症 癌症 癌症 癌症机器学习 机器学习边缘插入的中央导管线插入插入.已经出现了缩.风险 风险 风险 风险 风险

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