A universal AutoScore framework to develop interpretable scoring systems for predicting common types of clinical outcomes

  • Feng Xie
  • , Yilin Ning
  • , Mingxuan Liu
  • , Siqi Li
  • , Seyed Ehsan Saffari
  • , Han Yuan
  • , Victor Volovici
  • , Daniel Shu Wei Ting
  • , Benjamin Alan Goldstein
  • , Marcus Eng Hock Ong
  • , Roger Vaughan
  • , Bibhas Chakraborty
  • , Nan Liu

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

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Keyphrases

Computer Science

Mathematics