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Updated: Jul 26, 2025

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自然语言处理方法用于识别患有急性病的高风险瘤患者,并提供临床说明

Claudio Fanconi1,2, Marieke van Buchem1,3, Tina Hernandez-Boussard1

  • 1Stanford University, Stanford, California, United States.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
|June 23, 2023
PubMed
概括

自然语言处理 (NLP) 可以预测瘤病人的急性护理使用 (ACU). 虽然结构化健康数据模型略高于NLP,但自由文本分析为患者的风险因素提供了宝贵的见解.

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