Identifying recent telemedicine research trends using a natural language processing approach

Anthony Maeder, Martyn George, Bertha Naveda

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)

    Abstract

    Conventional literature review processes undertaken by hum an experts require considerable effort. Automating them is elusive due to subtlety of concepts and complexity of interrelationships implicit In text semantics, However, when assessing topics relating to current trends, these factors are less important as there is inherent breadth and diversity in the text which countermands the need for expertise. This paper presents an approach for trend topic analysis using simple bibliometrics of Term Frequency and Keyword Selection, extracted with natural language processing tools NL.TK and AntConc. This approach is applied to a case study of identifying trends in Telemedicine research in South Africa based on 2019 pubflearlens included in PubMed. Lists of topics generated by the analysis methods show consistency in identified trends and suggest their suitability to categorise small focussed corpora.

    Original languageEnglish
    Title of host publication2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings
    EditorsSameerchand Pudaruth, Upasana Singh
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Number of pages6
    ISBN (Electronic)9781728167701
    DOIs
    Publication statusPublished - Sept 2020
    Event2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Durban, KwaZulu Natal, South Africa
    Duration: 6 Aug 20207 Aug 2020

    Publication series

    Name2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings

    Conference

    Conference2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020
    Country/TerritorySouth Africa
    CityDurban, KwaZulu Natal
    Period6/08/207/08/20

    Keywords

    • Bibliometrics
    • Literature review
    • Naturallanguage processing
    • Telemedicine

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