Mayra Elwes：临床时间序列预测的泛化与域适应

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   AIHub

   临床时间序列预测的机器学习：Mayra Elwes 访谈

   Mayra Elwes 是科隆大学医院生物医学信息学二年级计算机科学博士生，研究机器学习在临床时间序列预测中的泛化与域适应，重点关注诊所到诊所的迁移场景。她针对 ICU 血氧水平与动脉平均血压预测设计了新基准，并开源 WavePrep、Algorithm2Domain 与 MIMIC-III Waveform Database Matched Subset。

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