A curriculum batching strategy for automatic icd coding with deep multi-label classification models

HIGHLIGHTS

  • who: Yaqiang Wang and collaborators from the College of Software Engineering, Chengdu University of Information Technology, Chengdu, China have published the Article: A Curriculum Batching Strategy for Automatic ICD Coding with Deep Multi-Label Classification Models, in the Journal: Healthcare 2022, 10, 2397. of /2022/
  • what: The studies show that a larger batch size results in a lower frequency of gradient updates and better gradient update approximation, but it may hurt generalization and result in finding poorer local optima . TextCNN TextRNN TextRCNN To challenge the inconsistency problem, the authors propose a simple and effective curriculum . . .

     

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