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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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2023-09-01
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| Serie: | Exploratory Research in Clinical and Social Pharmacy |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S2667276623000884 |
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