Machine learning model predicts fall risk for lower limb amputees with up to 80% accuracy, with implications for future smartphone apps (IMAGE)

PLOS

Machine learning model predicts fall risk for lower limb amputees with up to 80% accuracy, with implications for future smartphone apps

Caption

The Ottawa Hospital Rehabilitation Centre (TOHRC) Walk Test App was used to collect data in this research. Left: A participant completes a walk test with a smartphone attached to the lower back. Right: User interface of TOHRC Walk Test App after the walk test is complete.

Credit

Juneau P, et al., 2022, PLOS Digital Health, CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/)

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Credit must be given to the creator.

License

CC BY

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