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前FHIR:通过快速医疗互操作资源和大型语言模型增强临床预测

Merlin Engelke1,2, Giulia Baldini1,2, Jens Kleesiek1,3,4

  • 1Institute for Artificial Intelligence in Medicine, University Medicine Essen, Essen, 45131, Germany.

Journal of the American Medical Informatics Association : JAMIA
|October 13, 2025
PubMed
概括

开源框架FHIR-Former通过将快速医疗互操作性资源 (FHIR) 与大语言模型 (LLM) 集成来实现临床预测的自动化. 这种方法提高了医疗保健任务的数据处理和预测准确性.

关键词:
临床预测任务临床预测任务电子健康记录 (EHR) 是一种电子医疗记录.快速医疗互操作性资源 (FHIR)医院再入院的情况在ICD编码分类中,ICD编码分类.图像研究研究预测预测住院死亡率 住院死亡率大型语言模型 (LLM)多式联络数据多式联络数据

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