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在多发性硬化症中,可解释的进展时间预测

Robbe D'hondt1, Klest Dedja1, Sofie Aerts2

  • 1KU Leuven, Dept. Public Health and Primary Care, Kortrijk, Belgium; itec, imec research group at KU Leuven, Kortrijk, Belgium.

Computer methods and programs in biomedicine
|February 18, 2025
PubMed
概括

这项研究使用可解释的机器学习来模拟多发性硬化症残疾进展的时间,比传统的二进制模型提供更个性化的患者预后. 它实现了最先进的预测,并提供了临床上有效的见解.

关键词:
残疾进展的进展情况.可解释的人工智能纵向数据 纵向数据 纵向数据多发性硬化症是多发性硬化症.对生存分析的分析.

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