遇见数据集

基于大语言模型的智能导诊应用-导诊数据集

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湖北省数据知识产权登记平台2024-08-14 更新2025-01-03 收录
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1. 通过对人卫版(第9版)医学教材、诊疗指南、专家共识等专业文献的深度挖掘,细致梳理了其中记载的各类常见疾病。 2.运用数据清洗技术剔除冗余与错误信息,最终提炼出疾病名称、典型症状、相关体征以及就诊科室间的精准关联。

1. This dataset is developed through in-depth mining of professional literature including the 9th edition medical textbooks published by People's Medical Publishing House (PMPH), diagnosis and treatment guidelines, and expert consensuses, followed by systematic organization of all common diseases documented in these sources. 2. Data cleaning technologies are applied to remove redundant and erroneous information, finally extracting precise correlations among disease names, typical symptoms, associated signs, and consultation departments.

创建时间:
2024-07-27
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基于大语言模型的智能导诊应用-导诊数据集 数据集图片
以上内容由遇见数据集搜集并总结生成
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