Predictive models of multiple sclerosis-related cognitive performance using routine clinical practice predictors
Multiple Sclerosis and Related Disorders(2023)
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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