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大型多发性硬化症数据网络:用于真实世界数据分析的新型建模方法

M Trojano1, P Iaffaldano2, M Copetti3

  • 1Department of Translational Biomedicine and Neurosciences -DiBrain, University of Bari "Aldo Moro", Piazza Umberto I, 70121, Bari, Italy. maria.trojano@uniba.it.

Journal of neurology
|November 8, 2025
PubMed
概括

先进的统计和机器学习使用现实世界的数据 (RWD) 改善了多发性硬化症 (MS) 治疗预测. 这些方法提高了对比有效性,安全分析和数据协调,用于MS的精准医学.

关键词:
大数据的大数据大数据计算方法的计算方法.多发性硬化症是多发性硬化症.现实世界的数据数据.统计学方法论 统计学方法论

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