Medical Text Analytics Tools for Search and Classification

被引:2
|
作者
Huang, Jimmy [1 ]
An, Aijun [1 ]
Hu, Vivian [1 ]
Tu, Karen [1 ]
机构
[1] York Univ, Inst Clin Evaluat Sci, Toronto, ON M3J 2R7, Canada
关键词
medical search; free-text analysis; EMR;
D O I
10.3233/978-1-58603-979-0-519
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
A text-analytic tool has been developed that accepts clinical medical data as input in order to produce patient details. The integrated tool has the following four characteristics. 1) It has a graphical user interface. 2) It has a free-text search tool that is designed to retrieve records using keywords such as "MI" for myocardial infarction. The result set is a display of those sentences in the medical records that contain the keywords. 3) It has three tools to classify patients based on the likelihood of being diagnosed for myocardial infarction, hypertension, or their smoking status. 4) A summary is generated for each patient selected. Large medical data sets provided by the Institute for Clinical Evaluative Sciences were used during the project.
引用
收藏
页码:519 / 524
页数:6
相关论文
共 50 条
  • [1] Medical Search and Classification Tools for Recommendation
    Huang, Jimmy Xiangji
    An, Aijun
    Hu, Qinmin
    [J]. SIGIR 2010: PROCEEDINGS OF THE 33RD ANNUAL INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH DEVELOPMENT IN INFORMATION RETRIEVAL, 2010, : 707 - 707
  • [2] Automated classification of health apps into medical specialties by using text analytics
    Paglialonga, A.
    Riboldi, M.
    Tognola, G.
    Caiani, E. G.
    [J]. EUROPEAN HEART JOURNAL, 2017, 38 : 1026 - 1027
  • [3] Improving Full Text Search with Text Mining Tools
    Piao, Scott
    Rea, Brian
    McNaught, John
    Ananiadou, Sophia
    [J]. NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS, 2010, 5723 : 301 - 302
  • [4] Text mining and visual analytics in research: Exploring the innovative tools
    Rabbani, Mustafa Raz A.
    Bashar, Abu
    Atif, Mohd
    Jreisat, Ammar
    Zulfikar, Zehra
    Naseem, Yusra
    [J]. 2021 INTERNATIONAL CONFERENCE ON DECISION AID SCIENCES AND APPLICATION (DASA), 2021,
  • [5] Searching beyond text: Multimedia search tools
    Notess, GR
    [J]. ONLINE, 2000, 24 (06): : 63 - 65
  • [6] Classification of Medical Sensitive Data based on Text Classification
    Jiang, Huimin
    Chen, Chunling
    Wu, ShengChen
    Guo, Yongan
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW), 2019,
  • [7] Inductive text classification for medical applications
    Lehnert, W.
    Soderland, S.
    Aronow, D.
    Feng, F.
    [J]. Journal of Experimental & Theoretical Artificial Intelligence, 1995, 73 (01)
  • [8] INDUCTIVE TEXT CLASSIFICATION FOR MEDICAL APPLICATIONS
    LEHNERT, W
    SODERLAND, S
    ARONOW, D
    FENG, FF
    SHMUELI, A
    [J]. JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, 1995, 7 (01) : 49 - 80
  • [9] Discovering Design Principles of Web Analytics Tools: A Text Mining Approach
    Harb, Yousra
    Shang, Yanyan
    Al-Musa, Lamar
    [J]. AMCIS 2020 PROCEEDINGS, 2020,
  • [10] Analytics of machine learning-based algorithms for text classification
    Hassan, Sayar Ul
    Ahamed, Jameel
    Ahmad, Khaleel
    [J]. Sustainable Operations and Computers, 2022, 3 : 238 - 248