Background: Machine learning (ML) and deep learning (DL) show promise for fall risk prediction, but prior reviews focused mainly on real-time fall detection, in-hospital falls, or conventional ...

Abstract: Urban resilience modeling often falls short in delivering interpretable, transferable, and cascade-aware predictions under constrained data regimes. Existing frameworks typically neglect the ...