• Login
    View Item 
    •   Home
    • The Christie Research Publications Repository
    • All Christie Publications
    • View Item
    •   Home
    • The Christie Research Publications Repository
    • All Christie Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of ChristieCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsProfilesView

    My Account

    LoginRegister

    Local Links

    The Christie WebsiteChristie Library and Knowledge Service

    Statistics

    Display statistics

    Text mining of cancer-related information: Review of current status and future directions.

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Authors
    Spasić, I
    Livsey, Jacqueline E
    Keane, J
    Nenadić, G
    Affiliation
    School of Computer Science & Informatics, Cardiff University, Cardiff CF24 3AA, UK
    Issue Date
    2014-09
    
    Metadata
    Show full item record
    Abstract
    This paper reviews the research literature on text mining (TM) with the aim to find out (1) which cancer domains have been the subject of TM efforts, (2) which knowledge resources can support TM of cancer-related information and (3) to what extent systems that rely on knowledge and computational methods can convert text data into useful clinical information. These questions were used to determine the current state of the art in this particular strand of TM and suggest future directions in TM development to support cancer research.
    Citation
    Text mining of cancer-related information: Review of current status and future directions. 2014, 83 (9):605-623 Int J Med Inform
    Journal
    International Journal of Medical Informatics
    URI
    http://hdl.handle.net/10541/325840
    DOI
    10.1016/j.ijmedinf.2014.06.009
    PubMed ID
    25008281
    Type
    Article
    Language
    en
    ISSN
    1872-8243
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.ijmedinf.2014.06.009
    Scopus Count
    Collections
    All Christie Publications

    entitlement

    Related articles

    • Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    • Authors: Crider K, Williams J, Qi YP, Gutman J, Yeung L, Mai C, Finkelstain J, Mehta S, Pons-Duran C, Menéndez C, Moraleda C, Rogers L, Daniels K, Green P
    • Issue date: 2022 Feb 1
    • Extracting adverse drug events from clinical Notes: A systematic review of approaches used.
    • Authors: Modi S, Kasmiran KA, Mohd Sharef N, Sharum MY
    • Issue date: 2024 Mar
    • Developing a RadLex-Based Named Entity Recognition Tool for Mining Textual Radiology Reports: Development and Performance Evaluation Study.
    • Authors: Tsuji S, Wen A, Takahashi N, Zhang H, Ogasawara K, Jiang G
    • Issue date: 2021 Oct 29
    • Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review.
    • Authors: Chen D, Alnassar SA, Avison KE, Huang RS, Raman S
    • Issue date: 2025 Mar 28
    • Information extraction from multi-institutional radiology reports.
    • Authors: Hassanpour S, Langlotz CP
    • Issue date: 2016 Jan
    DSpace software (copyright © 2002 - 2025)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.