"AutoScore-Ordinal: An Interpretable Machine Learning Framework for ..."

Seyed Ehsan Saffari et al. (2022)

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DOI: —

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type: Conference or Workshop Paper

metadata version: 2024-08-16

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Seyed Ehsan Saffari, Yilin Ning, Feng Xie, Bibhas Chakraborty, Victor Volovici, Roger Vaughan, Marcus Eng Hock Ong, Nan Liu:
AutoScore-Ordinal: An Interpretable Machine Learning Framework for Generating Scoring Models for Ordinal Outcomes. AMIA 2022

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