Cargando…
Validation of a machine learning approach to estimate expanded disability status scale scores for multiple sclerosis
BACKGROUND: Disability assessment using the Expanded Disability Status Scale (EDSS) is important to inform treatment decisions and monitor the progression of multiple sclerosis. Yet, EDSS scores are documented infrequently in electronic medical records. OBJECTIVE: To validate a machine learning mode...
Autores principales: | Alves, Pedro, Green, Eric, Leavy, Michelle, Friedler, Haley, Curhan, Gary, Marci, Carl, Boussios, Costas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228644/ https://www.ncbi.nlm.nih.gov/pubmed/35755008 http://dx.doi.org/10.1177/20552173221108635 |
Ejemplares similares
-
Reply to Letter to the Editor: Machine learning to deal with missing
disability status
por: Alves, Pedro, et al.
Publicado: (2022) -
Validation of a machine learning approach to estimate Systemic Lupus Erythematosus Disease Activity Index score categories and application in a real-world dataset
por: Alves, Pedro, et al.
Publicado: (2021) -
Validation of a machine learning approach to estimate Clinical Disease Activity Index Scores for rheumatoid arthritis
por: Spencer, Alison K., et al.
Publicado: (2021) -
A new approach to identifying patients with elevated risk for Fabry disease using a machine learning algorithm
por: Jefferies, John L., et al.
Publicado: (2021) -
Relationship between Expanded Disability Status Scale scores and the presence of temporomandibular disorders in patients with multiple sclerosis
por: Carvalho, Lucas Senra Corrêa, et al.
Publicado: (2018)