Predicting falls and injuries in people with multiple sclerosis using machine learning algorithms.

@article{Piryonesi2021PredictingFA,
  title={Predicting falls and injuries in people with multiple sclerosis using machine learning algorithms.},
  author={Sayed Madeh Piryonesi and Sorour Rostampour and S Abdurrahman Piryonesi},
  journal={Multiple sclerosis and related disorders},
  year={2021},
  volume={49},
  pages={
          102740
        }
}
Falls in people with Multiple Sclerosis (PwMS) is a serious issue. It can lead to a lot of problems including sustaining injuries, losing consciousness and hospitalization. Having a model that can predict the probability of these falls and the factors correlated with them and can help caregivers and family members to have a clearer understanding of the risks of falling and proactively minimizing them. We used historical data and machine learning algorithms to predict three outcomes: falling… Expand
Using Machine Learning Algorithms for Identifying Gait Parameters Suitable to Evaluate Subtle Changes in Gait in People with Multiple Sclerosis
TLDR
This study demonstrates that machine learning methods are suitable for identifying pathologic gait patterns in early MS. Expand

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