Cargando…
Validation of a machine learning approach to estimate Systemic Lupus Erythematosus Disease Activity Index score categories and application in a real-world dataset
OBJECTIVE: Use of the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) in routine clinical practice is inconsistent, and availability of clinician-recorded SLEDAI scores in real-world datasets is limited. This study aimed to validate a machine learning model to estimate SLEDAI score cate...
Autores principales: | Alves, Pedro, Bandaria, Jigar, Leavy, Michelle B, Gliklich, Benjamin, Boussios, Costas, Su, Zhaohui, Curhan, Gary |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8141448/ https://www.ncbi.nlm.nih.gov/pubmed/34016712 http://dx.doi.org/10.1136/rmdopen-2021-001586 |
Ejemplares similares
-
Validation of a machine learning approach to estimate Clinical Disease Activity Index Scores for rheumatoid arthritis
por: Spencer, Alison K., et al.
Publicado: (2021) -
Glucocorticoid tapering and associated outcome in patients with newly diagnosed systemic lupus erythematosus: the real-world GULP prospective observational study
por: Floris, Alberto, et al.
Publicado: (2022) -
Systemic lupus erythematosus: state of the art on clinical practice guidelines
por: Tamirou, Farah, et al.
Publicado: (2019) -
Safety profile of baricitinib in patients with systemic lupus erythematosus: an integrated analysis
por: Morand, Eric, et al.
Publicado: (2023) -
Therapeutic implications of the anergic/postactivated status of B cells in systemic lupus erythematosus
por: Dörner, Thomas, et al.
Publicado: (2020)