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

  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},

Using Machine Learning Algorithms for Identifying Gait Parameters Suitable to Evaluate Subtle Changes in Gait in People with Multiple Sclerosis

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
  • 2021
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.



Predictors of falls in persons with spinal cord injury—a prospective study using the Downton fall risk index and a single question of previous falls

Falls in the previous year showed a better predictive accuracy than DFRI due to the low sensitivity of DFRI, as previous falls had low specificity, it still remains difficult to predict falls in those who have not fallen yet.

Falls in People with Multiple Sclerosis Compared with Falls in Healthy Controls

Fall risk, circumstances, consequences, and causes are different for PwMS than for healthy people of the same age and gender.

Falls in people with MS—an individual data meta-analysis from studies from Australia, Sweden, United Kingdom and the United States

People with multiple sclerosis are at high risk of falls and there are important associations between falls and MS-associated disability, gender and age.

Outcome Measures in Clinical Trials for Multiple Sclerosis

The historical background and recent developments of outcome measures in multiple sclerosis trials are provided, including newer assessments such as optical coherence tomography, biomarkers in body fluids and the concept of ‘no evidence of disease activity’ are discussed.