HIGHLIGHTS
SUMMARY
Standard FIs comprise a selection of several agerelated health deficits which fit pre-defined criteria, and, when reflecting the accumulated burden of 30 to 40 health deficit variables, are robust for prediction of mortality. While Ward and coworkers found a significant association between FI and future dementia risk when adjusting for global cognition, results across studies show, however, that the association between FIs and future dementia risk weakens after removing deficits which might represent early core dementia symptoms. While the accuracy of a neural-network based machine_learning approach outperformed an unweighted (i.e., standard . . .
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