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在大型三级医院使用机器学习预测个体患者的血小板需求

Merlin Engelke1,2, Christian Martin Brieske3, Vicky Parmar1,2

  • 1University Medicine Essen, Institute for Artificial Intelligence in Medicine, Essen, Germany.

Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie
|September 28, 2023
PubMed
概括

这项研究开发了一种人工智能模型,可以提前三天预测个体患者的血小板需求,旨在改善血液银行物流并减少浪费. 虽然特异性很高,但对于临床应用,敏感性需要改进.

关键词:
输血 输血 输血 输血 输血 输血 输血捐赠者管理的管理.机器学习 机器学习每个患者的个体.血小板 血小板 血小板 血小板 血小板血小板缩剂 血小板缩剂血小板预测 血小板预测

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