Epidemiology and Patient Journey in Inclusion Body Myositis (IBM): A Machine Learning (ML) Methodology Applied to Claims Data in the United States (US) (P10-2.004)

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dc.contributor.authorDevon Grochowski
dc.contributor.authorDan Bradley
dc.contributor.authorRaymond Mankoski
dc.contributor.authorKaren Tubridy
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T19:35:20Z
dc.date.available2026-03-22T19:35:20Z
dc.date.issued2025
dc.description.abstractEvaluate epidemiology and diagnostic journey of US patients with IBM.
dc.identifier.doi10.1212/wnl.0000000000211362
dc.identifier.urihttps://doi.org/10.1212/wnl.0000000000211362
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/76934
dc.language.isoen
dc.publisherLippincott Williams & Wilkins
dc.relation.ispartofNeurology
dc.sourceUniversidad Real
dc.subjectInclusion body myositis
dc.subjectIBM
dc.subjectEpidemiology
dc.subjectInclusion (mineral)
dc.subjectMyositis
dc.subjectMedicine
dc.subjectPhysical medicine and rehabilitation
dc.subjectPhysical therapy
dc.subjectPsychology
dc.titleEpidemiology and Patient Journey in Inclusion Body Myositis (IBM): A Machine Learning (ML) Methodology Applied to Claims Data in the United States (US) (P10-2.004)
dc.typearticle

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