Towards Decision Support for a Homecare Services Platform

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    Abstract

    It is believed that ICT-mediation for home care services increases patient empowerment, independency, self-efficacy and quality of life. Providing elderly people with tailored care services allows us to learn from patient data to predict future care needs. In this article, we demonstrate the contribution of machine learning to homecare services, using data collected by a home care services platform. As an actual case, we show how simulated medication compliance can be measured and modeled using clustering and regression techniques. The approach is validated using data from French nursing home databases. The results show that it is possible to classify situations in elderly healthcare, and schedule resource planning according to expected health problems.
    Original languageUndefined
    Title of host publicationProceedings of the 4th International Workshop on Web Intelligence & Communities
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery (ACM)
    Pages48-54
    Number of pages7
    ISBN (Print)978-1-4503-1189-2
    DOIs
    Publication statusPublished - 16 Apr 2012

    Publication series

    Name
    PublisherACM

    Keywords

    • METIS-286328
    • Decision support
    • EWI-21771
    • IR-80215
    • Homecare
    • Machine Learning

    Cite this

    van 't Klooster, J. W. J. R., Combes, C., & van Beijnum, B. J. F. (2012). Towards Decision Support for a Homecare Services Platform. In Proceedings of the 4th International Workshop on Web Intelligence & Communities (pp. 48-54). New York: Association for Computing Machinery (ACM). https://doi.org/10.1145/2189736.2189747