Towards Decision Support for a Homecare Services Platform

Jan-Willem van 't Klooster; Catherine Combes; Bert-Jan van Beijnum

doi:10.1145/2189736.2189747

Towards Decision Support for a Homecare Services Platform

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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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 language	English
Title of host publication	Proceedings of the 4th International Workshop on Web Intelligence & Communities
Place of Publication	New York
Publisher	Association for Computing Machinery
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
Event	4th International Workshop on Web Intelligence & Communities, co-located with the International World Wide Web Conference, WWW 2012 - Lyon, France Duration: 16 Apr 2012 → 16 Apr 2012 Conference number: 4

Publication series

Name
Publisher	ACM

Workshop

Workshop	4th International Workshop on Web Intelligence & Communities, co-located with the International World Wide Web Conference, WWW 2012
Country/Territory	France
City	Lyon
Period	16/04/12 → 16/04/12

Keywords

2026 OA procedure
Decision support
Homecare
Machine Learning
Data mining in healthcare systems

Access to Document

10.1145/2189736.2189747

Conference paperFinal published version, 1.59 MBLicence: Taverne

Cite this

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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.",

keywords = "2026 OA procedure, Decision support, Homecare, Machine Learning, Data mining in healthcare systems",

author = "\{van 't Klooster\}, Jan-Willem and Catherine Combes and \{van Beijnum\}, Bert-Jan",

note = "Copyright {\textcopyright} 2012 ACM.; 4th International Workshop on Web Intelligence \& Communities, co-located with the International World Wide Web Conference, WWW 2012 ; Conference date: 16-04-2012 Through 16-04-2012",

year = "2012",

month = apr,

day = "16",

doi = "10.1145/2189736.2189747",

language = "English",

isbn = "978-1-4503-1189-2",

publisher = "Association for Computing Machinery",

booktitle = "Proceedings of the 4th International Workshop on Web Intelligence \& Communities",

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}

van 't Klooster, J-W, Combes, C & van Beijnum, B-J 2012, Towards Decision Support for a Homecare Services Platform. in Proceedings of the 4th International Workshop on Web Intelligence & Communities., 7, Association for Computing Machinery, New York, 4th International Workshop on Web Intelligence & Communities, co-located with the International World Wide Web Conference, WWW 2012, Lyon, France, 16/04/12. https://doi.org/10.1145/2189736.2189747

Towards Decision Support for a Homecare Services Platform. / van 't Klooster, Jan-Willem; Combes, Catherine; van Beijnum, Bert-Jan.
Proceedings of the 4th International Workshop on Web Intelligence & Communities. New York: Association for Computing Machinery, 2012. 7.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Towards Decision Support for a Homecare Services Platform

AU - van 't Klooster, Jan-Willem

AU - Combes, Catherine

AU - van Beijnum, Bert-Jan

N1 - Conference code: 4

PY - 2012/4/16

Y1 - 2012/4/16

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.

KW - 2026 OA procedure

KW - Decision support

KW - Homecare

KW - Machine Learning

KW - Data mining in healthcare systems

U2 - 10.1145/2189736.2189747

DO - 10.1145/2189736.2189747

M3 - Conference contribution

SN - 978-1-4503-1189-2

BT - Proceedings of the 4th International Workshop on Web Intelligence & Communities

PB - Association for Computing Machinery

CY - New York

T2 - 4th International Workshop on Web Intelligence & Communities, co-located with the International World Wide Web Conference, WWW 2012

Y2 - 16 April 2012 through 16 April 2012

ER -

Towards Decision Support for a Homecare Services Platform

Abstract

Publication series

Workshop

Keywords

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Cite this