Predictive models of multiple sclerosis-related cognitive performance using routine clinical practice predictors

Multiple Sclerosis and Related Disorders(2023)

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摘要
•Time to high efficacy therapy was one of the top importance predictors in all the models.•Any predictive model of cognitive evolution should include high-efficacy treatment timing measures.•Routine clinical practice features can be used for reliable prediction of cognitive evolution.•Trees-based ML models can accurately predict individual future cognitive worsening.
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关键词
Cognitive dysfunction,High efficacy disease-modifying therapies,Information processing speed,Machine learning,Multiple sclerosis,Processing speed test
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