An Interpretable Machine Learning Approach to Predict Fall Risk Among Community-Dwelling Older Adults: a Three-Year Longitudinal Study.

Takaaki Ikeda Upul M P CoorayMasanori HariyamaJun AidaKatsunori KondoMasayasu MurakamiKen Osaka

Published in: Journal of general internal medicine (2022)

This study suggests that machine learning tools can be adapted to explore new associative factors, make accurate predictions, and provide actionable insights for fall prevention strategies.

Keyphrases

machine learning
artificial intelligence
big data
high resolution
deep learning
mass spectrometry