Health status prediction for the elderly based on machine learning

Qin, Fang Yu, Lv, Zhe Qi, Wang, Dan Ni, Hu, Bo ORCID: 0000-0002-5256-505X and Wu, Chao (2020) Health status prediction for the elderly based on machine learning. Archives of Gerontology and Geriatrics, 90. ISSN 0167-4943

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Abstract

Health and social care services are crucial to old people. The provision of services to the elderly with care needs requires more accurate predictions of the health status of the elderly to rationalize the allocation of the limited social care resources. The traditional analytical methods have proved incapable of predicting the demands of today's society, compared to which machine learning methods can more accurately capture the nonlinear relationships between the variables. To ascertain visually the performance of these machine learning methods regarding the prediction of the elderly's care needs, we designed and verified the experiment.

Item Type:	Article
Official URL:	https://www.sciencedirect.com/journal/archives-of-...
Additional Information:	© 2020 Elsevier B.V.
Divisions:	Care Policy and Evaluation Centre
Subjects:	R Medicine > R Medicine (General) H Social Sciences > HT Communities. Classes. Races
Date Deposited:	19 Jun 2020 09:15
Last Modified:	12 Dec 2024 02:12
URI:	http://eprints.lse.ac.uk/id/eprint/105110

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