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基于NLP的半自动识别系统,用于延迟后续检查:一项意大利临床转诊病例研究

Vittorio Torri1, Michele Ercolanoni2, Francesco Bortolan3

  • 1MOX - Modelling and Scientific Computing Lab, Department of Mathematics, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan, 20133, Italy. vittorio.torri@polimi.it.

BMC medical informatics and decision making
|April 23, 2024
PubMed
概括

一种新的自然语言处理 (NLP) 方法有效地监测了意大利国家卫生系统 (NHS) 后续考试等待时间. 该工具有助于评估服务质量,并优化用于慢性疾病管理的资源配置.

关键词:
后续检查 后续检查自然语言处理自然语言处理.公共医疗保健系统 公共卫生保健系统医疗保健的质量 医疗保健的质量推服务 推服务

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