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                                       Details for article 20 of 191 found articles
 
 
  A universal AutoScore framework to develop interpretable scoring systems for predicting common types of clinical outcomes
 
 
Title: A universal AutoScore framework to develop interpretable scoring systems for predicting common types of clinical outcomes
Author: Xie, Feng
Ning, Yilin
Liu, Mingxuan
Li, Siqi
Saffari, Seyed Ehsan
Yuan, Han
Volovici, Victor
Ting, Daniel Shu Wei
Goldstein, Benjamin Alan
Ong, Marcus Eng Hock
Vaughan, Roger
Chakraborty, Bibhas
Liu, Nan
Appeared in: STAR protocols
Paging: Volume 4 () nr. 2 pages p.
Year: 2023
Contents:
Publisher: The Authors
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 20 of 191 found articles
 
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