Predictive modeling of dental pain using neural network

Eun Yeob Kim, Kun Ok Lim, Hyun Sill Rhee

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

    21 Citations (Scopus)

    Abstract

    The mouth is a part of the body for ingesting food that is the most basic foundation and important part. The dental pain predicted by the neural network model. As a result of making a predictive modeling, the fitness of the predictive modeling of dental pain factors was 80.0%. As for the people who are likely to experience dental pain predicted by the neural network model, preventive measures including proper eating habits, education on oral hygiene, and stress release must precede any dental treatment

    Original languageEnglish
    Title of host publicationConnecting Health and Humans - Proceedings of NI2009
    Subtitle of host publicationThe 10th International Congress on Nursing Informatics
    PublisherIOS Press
    Pages745-746
    Number of pages2
    ISBN (Print)9781607500247
    DOIs
    Publication statusPublished - 2009
    Event10th International Congress on Nursing Informatics: Connecting Health and Humans, NI2009 - Helsinki, Finland
    Duration: 2009 Jun 282009 Jul 1

    Publication series

    NameStudies in Health Technology and Informatics
    Volume146
    ISSN (Print)0926-9630
    ISSN (Electronic)1879-8365

    Other

    Other10th International Congress on Nursing Informatics: Connecting Health and Humans, NI2009
    Country/TerritoryFinland
    CityHelsinki
    Period09/6/2809/7/1

    Keywords

    • Dental pain
    • Neural network
    • Oral health

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Health Informatics
    • Health Information Management

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