Application of machine learning in measurement of ageing and geriatric diseases: a systematic review.

ABSTRACT:

Background

As the ageing population continues to grow in many countries, the prevalence of geriatric diseases is on the rise. In response, healthcare providers are exploring novel methods to enhance the quality of life for the elderly. Over the last decade, there has been a remarkable surge in the use of machine learning in geriatric diseases and care. Machine learning has emerged as a promising tool for the diagnosis, treatment, and management of these conditions. Hence, our study aims to find out the present state of research in geriatrics and the application of machine learning methods in this area.

Methods

This systematic review followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and focused on healthy ageing in individuals age

SUBMITTER: Das A 

PROVIDER: S-EPMC10717316 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature