Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach.

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作者： Wei-Hung,Weng ^[1] ; Kavishwar B,Wagholikar ^[2] ; Alexa T,McCray ^[3] ; Peter,Szolovits ^[4] ; Henry C,Chueh ^[5]

作者单位： Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, 4th Floor, Boston, MA, 02115, USA. ckbjimmy@mit.edu. ^[1] Laboratory of Computer Science, Massachusetts General Hospital, 50 Staniford Street, Suite 750, Boston, MA, 02114, USA. ckbjimmy@mit.edu. ^[2] Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA, 02139, USA. ckbjimmy@mit.edu. ^[3] Laboratory of Computer Science, Massachusetts General Hospital, 50 Staniford Street, Suite 750, Boston, MA, 02114, USA. ^[4] Department of Medicine, Massachusetts General Hospital, 55 Fruit St, Boston, MA, 02114, USA. ^[5] Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, 4th Floor, Boston, MA, 02115, USA. ^[6] Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA, 02139, USA. ^[7]

关键词 Deep Learning Distributed Representation Machine Learning Medical Decision Making, Computer-assisted Natural Language Processing Unified Medical Language System

主题词人类(Humans);病案(Medical Records);自然语言处理(Natural Language Processing);统一医学语言系统(Unified Medical Language System)

DOI 10.1186/s12911-017-0556-8

PMID 29191207

发布时间 2024-03-27

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准确一般字义偏差语意偏离译文作用小提交