Dementia - rehabilitation Dementia - therapy Health Services Accessibility - statistics & numerical data Humans Machine Learning Self-Help Devices - statistics & numerical data Self-Help Devices - supply & distribution
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.
Details
Title
Identifying Key Factors Associated with Assistive Technology Availability for Dementia Care Using Machine Learning
Authors/Creators
Wai Hang Kwok - Edith Cowan University
Syed Afaq Ali Shah - Edith Cowan University
Guanjin Wang - Murdoch University, School of Information Technology
Publication Details
Studies in health technology and informatics, Vol.327, pp.1242-1243