A Curriculum Batching Strategy for Automatic ICD Coding with Deep Multi-Label Classification Models

A Curriculum Batching Strategy for Automatic ICD Coding with Deep Multi-Label Classification Models

The International Classification of Diseases (ICD) has an important role in building applications for clinical medicine. Extremely large ICD coding label sets and imbalanced label distribution bring the problem of inconsistency between the local batch data distribution and the global training data d...

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Bibliographic Details
Main Authors: Yaqiang Wang, Xu Han, Xuechao Hao, Tao Zhu, Hongping Shu
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Healthcare
Subjects:
automatic ICD coding
curriculum learning
minibatch gradient descent
deep learning
Online Access:https://www.mdpi.com/2227-9032/10/12/2397

Internet

https://www.mdpi.com/2227-9032/10/12/2397

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