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Updated: Jun 26, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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使用可解释AI方法识别患者的吸烟状况:丹麦电子健康记录案例研究

Ali Ebrahimi1, Margrethe Bang Høstgaard Henriksen2, Claus Lohman Brasen3,4

  • 1SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, 5230, Denmark. aleb@mmmi.sdu.dk.

BMC medical research methodology
|May 17, 2024
PubMed
概括

这项研究开发了一种机器学习管道,以准确地从电子健康记录中分类患者的吸烟状态. 自然语言处理模型实现了高性能,有助于研究和公共卫生倡议.

关键词:
在美国,CNN是CNN.深度学习是一种深度学习.电子健康记录电子健康记录可解释的人工智能 (XAI)这是LSTM的LSTM.自然语言处理自然语言处理.吸烟状态 吸烟状态基于堆叠的组合合集是基于堆叠的.文字分类 文本分类 文本分类

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