AutoScore-Ordinal: An interpretable machine learning framework for generating scoring models for ordinal outcomes

Seyed Ehsan Saffari, Yilin Ning, Xie Feng +5

Background: Risk prediction models are useful tools in clinical decision-making which help with risk stratification and resource allocations and may lead to a better health care fo…