Assessing treatment switch among patients with multiple sclerosis: A machine learning approach

BACKGROUND: Patients with multiple sclerosis (MS) frequently switch their Disease-Modifying Agents (DMA) for effectiveness and safety concerns. This study aimed to develop and compare the random forest (RF) machine learning (ML) model with the logistic regression (LR) model for predicting DMA switch...

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Detalles Bibliográficos
Autores principales: Li, Jieni, Huang, Yinan, Hutton, George J., Aparasu, Rajender R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405092/
https://www.ncbi.nlm.nih.gov/pubmed/37554927
http://dx.doi.org/10.1016/j.rcsop.2023.100307

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405092/
https://www.ncbi.nlm.nih.gov/pubmed/37554927
http://dx.doi.org/10.1016/j.rcsop.2023.100307

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