Abstract:BACKGROUND
The frailty syndrome is one of the most common non-communicable diseases, and it is associated to lower physical and mental capacities in older adults. The frailty diagnosis is mostly focused on biological variables; however, it is very likely that this diagnosis could fail, due to the high biological variability in this syndrome. Therefore, artificial intelligence (AI) could be a potential strategy to identify and diagnose this complex and multifactorial geriatric syndrome.
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