Identifying Key Factors Associated with Assistive Technology Availability for Dementia Care Using Machine Learning

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.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250592
Primary Topic
Aging, Elder Care, and Social Issues
Type
article
Field-Weighted Citation Impact
0.00
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article

Identifying Key Factors Associated with Assistive Technology Availability for Dementia Care Using Machine Learning

Syed Afaq Ali Shah, Guanjin Wang, Wai Hang Kwok
Studies in health technology and informatics
Aging, Elder Care, and Social Issues
article

Identifying Key Factors Associated with Assistive Technology Availability for Dementia Care Using Machine Learning

Syed Afaq Ali Shah, Guanjin Wang, Wai Hang Kwok
article en

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.

Studies in health technology and informaticsVol. 327
Edith Cowan University (AU), Murdoch University (AU)
Industry, innovation and infrastructure
Openalex Percentile: Top 70%
Aging, Elder Care, and Social Issues
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