Towards Decision Support for a Homecare Services Platform

J.W.J.R. van 't Klooster, Catherine Combes, Bernhard J.F. van Beijnum

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

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
van 't Klooster, J.W.J.R. ; Combes, Catherine ; van Beijnum, Bernhard J.F. / Towards Decision Support for a Homecare Services Platform. Proceedings of the 4th International Workshop on Web Intelligence & Communities. New York : Association for Computing Machinery (ACM), 2012. pp. 48-54
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title = "Towards Decision Support for a Homecare Services Platform",
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.",
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language = "Undefined",
isbn = "978-1-4503-1189-2",
publisher = "Association for Computing Machinery (ACM)",
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}

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

Towards Decision Support for a Homecare Services Platform. / van 't Klooster, J.W.J.R.; Combes, Catherine; van Beijnum, Bernhard J.F.

Proceedings of the 4th International Workshop on Web Intelligence & Communities. New York : Association for Computing Machinery (ACM), 2012. p. 48-54.

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

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N2 - 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.

AB - 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.

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