Towards Decision Support for a Homecare Services Platform

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

doi:10.1145/2189736.2189747

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 proceeding › Conference contribution › Academic › peer-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 language	Undefined
Title of host publication	Proceedings of the 4th International Workshop on Web Intelligence & Communities
Place of Publication	New York
Publisher	Association for Computing Machinery (ACM)
Pages	48-54
Number of pages	7
ISBN (Print)	978-1-4503-1189-2
DOIs	https://doi.org/10.1145/2189736.2189747
Publication status	Published - 16 Apr 2012

Publication series

Name
Publisher	ACM

Keywords

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

Access to Document

10.1145/2189736.2189747

http://eprints.eemcs.utwente.nl/secure2/21771/02/wic2012_submission_12.pdf

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

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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 proceeding › Conference contribution › Academic › peer-review

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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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