Predictors of functional outcomes in patients with facioscapulohumeral muscular dystrophy.

Katz, Natalie K; Hogan, John; Delbango, Ryan; Cernik, Colin; Tawil, Rabi; Statland, Jeffrey M

Katz, Natalie K; Hogan, John; Delbango, Ryan; Cernik, Colin; Tawil, Rabi; Statland, Jeffrey M.

Affiliation

Katz NK; Department of Neurology, Children's Mercy Hospital, Kansas City, MO 64108, USA.
Hogan J; Department of Artificial Intelligence, AIbytes, LLC, Hurley, NY 12443, USA.
Delbango R; Department of Artificial Intelligence, AIbytes, LLC, Hurley, NY 12443, USA.
Cernik C; Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS 66160, USA.
Tawil R; Department of Neurology, University of Rochester Medical Center, Rochester, NY 14642, USA.
Statland JM; Department of Neurology, University of Kansas Medical Center, Kansas City, KS 66160, USA.

Brain ; 144(11): 3451-3460, 2021 12 16.

Article in En | MEDLINE | ID: mdl-34542603

Subject(s)

Disease Progression; Muscular Dystrophy, Facioscapulohumeral; Adolescent; Adult; Aged; Aged, 80 and over; Child; Cohort Studies; Female; Humans; Longitudinal Studies; Male; Middle Aged; Prognosis; Risk Factors; Young Adult

Key words

artificial intelligence; facioscapulohumeral muscular dystrophy; functional outcomes; machine learning; wheelchair use

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Disease Progression / Muscular Dystrophy, Facioscapulohumeral Type of study: Clinical_trials / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Aged / Aged80 / Child / Female / Humans / Male / Middle aged Language: En Journal: Brain Year: 2021 Document type: Article Affiliation country: United States Country of publication: United kingdom

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