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={S Madeh Piryonesi and Sorour Rostampour and S Abdurrahman Piryonesi},
  journal={Multiple sclerosis and related disorders},
  year={2021},
  volume={49},
  pages={
          102740
        }
}

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.

Efficacy of Transcranial Direct Current Stimulation (tDCS) on Balance and Gait in Multiple Sclerosis Patients: A Machine Learning Approach

Transcranial direct current stimulation (tDCS) has emerged as an appealing rehabilitative approach to improve brain function, with promising data on gait and balance in people with multiple sclerosis

Molecular Docking Study on the Effect on Lamin –B1 through Compounds for the Treatment of Multiple Sclerosis

  • Sachin Verma
  • Biology
    International Journal for Research in Applied Science and Engineering Technology
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The Quercetin ligand molecule gives a promising way of making the drug against the Multiple Sclerosis disease, and may be used as a drug agent against multiple sclerosis in the future.

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