| 摘要: |
| 人工智能技术在临床医学领域已取得突破性进展，如诊断、影像、疾病分期分级等。电子病历蕴含疾病描述、诊断、检查、治疗等大量临床数据，在医学专家和信息学家的共同参与下，利用人工智能技术挖掘电子病历数据的研究急剧增加。虽然该方法目前存在一些局限性，但与传统人工研究相比其具有更快速、经济、方便等优势，有望更好地服务于人类健康医学事业的发展。本文对利用人工智能技术挖掘电子病历数据的现状，包括相关技术、具体实例、局限性等进行综述。 |
| 关键词: 人工智能 计算机化病案系统 数据源 自然语言处理 |
| DOI：10.16781/j.0258-879x.2018.08.0928 |
| 投稿时间：2018-06-21修订日期：2018-07-10 |
| 基金项目: |
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| Application and prospect of artificial intelligence technology in electronic medical record research |
| TANG Shi-chao1,YU Guan-zhen2,JIANG Lei3* |
(1. Department of Rheumatology and Immunology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200336, China;
2. Department of Oncology(Ⅶ), Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China;
3. Department of Rheumatology and Immunology, Changzheng Hospital, Navy Medical University(Second Military Medical University), Shanghai 200003, China
*Corresponding author) |
| Abstract: |
| Artificial intelligence technology has made breakthroughs in the field of clinical medicine, including diagnosis, imaging, and disease classification. Electronic medical record contains a large number of clinical data such as disease description, diagnosis, examination and treatment. With the participation of medical experts and information scientists, the studies of data mining of electronic medical record using artificial intelligence technology have greatly increased. Although now the method has some limitations, it is more rapid, economic and convenient compared with the traditional method, and is expected to promote the development of human health. In this paper, we reviewed the current status of data mining of electronic medical record using artificial intelligence technology, regarding related technologies, specific examples, and limitations. |
| Key words: artificial intelligence computed medical records systems data source natural language processing |
