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Health Natural Language Processing: Methodology Development and Applications

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收录情况: ◇ SCIE

机构: [1]School of Computer Science, South China Normal University, Guangzhou, China [2]College of Computer Science and Technology, Zhejiang University, Guangzhou, China [3]The Second Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China [4]School of Computer Science and Technology, Harbin Institute of Technology Shenzhen, Shenzhen, China
出处:
DOI: 10.2196/23898
ISSN:

关键词: health care unstructured text natural language processing methodology application

摘要:
With the rapid growth of information technology, the necessity for processing substantial amounts of health data using advanced information technologies is increasing. A large amount of valuable data exists in natural text such as diagnosis text, discharge summaries, online health discussions, and eligibility criteria of clinical trials. Health natural language processing, as an interdisciplinary field of natural language processing and health care, plays a substantial role in a wide scope of both methodology development and applications. This editorial shares the most recent methodology innovations of health natural language processing and applications in the medical domain published in this JMIR Medical Informatics special theme issue entitled "Health Natural Language Processing: Methodology Development and Applications".

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出版当年[2020]版:
大类 | 3 区 医学
小类 | 3 区 医学:信息
最新[2025]版:
大类 | 3 区 医学
小类 | 3 区 医学:信息
JCR分区:
出版当年[2019]版:
Q2 MEDICAL INFORMATICS
最新[2023]版:
Q2 MEDICAL INFORMATICS

影响因子: 最新[2023版] 最新五年平均 出版当年[2019版] 出版当年五年平均 出版前一年[2018版] 出版后一年[2020版]

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第一作者机构: [1]School of Computer Science, South China Normal University, Guangzhou, China
通讯作者:
通讯机构: [4]School of Computer Science and Technology, Harbin Institute of Technology Shenzhen, Shenzhen, China [*1]School of Computer Science and Technology Harbin Institute of Technology Shenzhen L1819, Harbin Institute of Technology Campus, Xili University Town, Nanshan Shenzhen, 518055 China
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