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A Novel, Integrative Approach for Evaluating Progression in Multiple Sclerosis: Development of a Scoring Algorithm.

Chloe TolleyDaniela Piani-MeierSarah BentleyBryan BennettEddie JonesJames PikeFrank DahlkeDavorka TomicTjalf Ziemssen
Published in: JMIR medical informatics (2020)
This study further confirms the need for a tool to provide a consistent, comprehensive approach across physicians to support the early evaluation of signs indicative of progression to SPMS. The novel and comprehensive approach to develop the draft scoring algorithm triangulates data obtained from ranking and weighting exercises, qualitative interviews, and a real-world observational study. Variables that go beyond the clinically most obvious impairment in lower limbs have been identified as relevant subtle/sensitive signs suggestive of progressive disease.
Keyphrases
  • multiple sclerosis
  • machine learning
  • deep learning
  • primary care
  • electronic health record
  • big data
  • systematic review
  • neural network
  • artificial intelligence
  • body composition