Identifying key factors associated with assistive technology availability for dementia care using machine learning

Authors/Creators

Wai Hang Kwok, Edith Cowan UniversityFollow
Syed Afaq Ali Shah, Edith Cowan UniversityFollow
Guanjin Wang

Author Identifier (ORCID)

Wai Hang Kwok: https://orcid.org/0000-0002-1854-4300

Syed Afaq Ali Shah: https://orcid.org/0000-0003-2181-8445

Abstract

This study explores the factors influencing the availability of assistive technology for people with dementia through the application of machine learning. The analysis identified key factors, including carer support, protective legislation, and access to reimbursable products from the WHO Global Health Observatory. A random forest model with high accuracy emphasises the importance of targeted resources and policies in improving dementia care infrastructure.

Document Type

Journal Article

Date of Publication

5-15-2025

Volume

327

PubMed ID

40380697

Publication Title

Studies in Health Technology and Informatics

Publisher

IOS Press

School

School of Nursing and Midwifery / School of Science

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

Comments

Kwok, W. H., Shah, S. A. A., & Wang, G. (2025). Identifying key factors associated with assistive technology availability for dementia care using machine learning. Studies in Health Technology and Informatics, 327, 1242-1243. https://doi.org/10.3233/SHTI250592

First Page

1242

Last Page

1243