A scoping review of machine learning models to predict risk of falls in elders, without using sensor data

Abstract Objectives This scoping review assesses machine learning (ML) tools that predicted falls, relying on information in health records without using any sensor data. The aim was to assess the available evidence on innovative techniques to improve fall prevention management. Methods Studies were...

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Bibliografski detalji

Glavni autori:	Angelo Capodici, Claudio Fanconi, Catherine Curtin, Alessandro Shapiro, Francesca Noci, Alberto Giannoni, Tina Hernandez-Boussard
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2025-05-01
Serija:	Diagnostic and Prognostic Research
Teme:	Artificial intelligence Machine learning Elders Falls Sensorless Scoping review
Online pristup:	https://doi.org/10.1186/s41512-025-00190-y
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