"AutoScore-Imbalance: An interpretable machine learning tool for ..."

Han Yuan et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2024-08-16

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2107-06039
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2107-06039
Han Yuan, Feng Xie, Marcus Eng Hock Ong, Yilin Ning, Marcel Lucas Chee, Seyed Ehsan Saffari, Hairil Rizal Abdullah, Benjamin Alan Goldstein, Bibhas Chakraborty, Nan Liu:
AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data. CoRR abs/2107.06039 (2021)

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