Vocabulary Domain Prediction for Pathological Report Analysis Using ICD-O3

Sunho Choi, Insoo Kim, Yoojoong Kim, Junhee Seok

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    Pathology is a basic medical field of diagnosing diseases and describing their conditions that are presented in a medical report form. It is important to understand the medical domain from various medical terms in the reports, such as observation parts, disease conditions and names, and measuring units. In this paper, we apply various machine learning algorithms to predict the domain of untrained terms used in real pathological reports. Here, we focus on the oncology section with ICD-O3. The analysis result shows the possibility and potential usefulness of the domain prediction using medical terms.

    Original languageEnglish
    Title of host publicationICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks
    PublisherIEEE Computer Society
    Pages520-522
    Number of pages3
    ISBN (Electronic)9781728113395
    DOIs
    Publication statusPublished - 2019 Jul
    Event11th International Conference on Ubiquitous and Future Networks, ICUFN 2019 - Zagreb, Croatia
    Duration: 2019 Jul 22019 Jul 5

    Publication series

    NameInternational Conference on Ubiquitous and Future Networks, ICUFN
    Volume2019-July
    ISSN (Print)2165-8528
    ISSN (Electronic)2165-8536

    Conference

    Conference11th International Conference on Ubiquitous and Future Networks, ICUFN 2019
    Country/TerritoryCroatia
    CityZagreb
    Period19/7/219/7/5

    Bibliographical note

    Funding Information:
    This work was supported by the grants of the NRF of Korea (NRF-2017R1C1B2002850) and KHIDI1(HI19C0360, HI19C0201). The correspondence should be addressed to [email protected]

    Publisher Copyright:
    © 2019 IEEE.

    Keywords

    • ICD-O3
    • Machine Learning
    • Natural Language Processing
    • Pathology
    • Text Classification

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Computer Science Applications
    • Hardware and Architecture

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