This paper is in the following e-collection/theme issue:

Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (27) Decision Support for Health Professionals (1210) Clinical Information and Decision Making (1434) Electronic Health Records (1068) Clinical Informatics (1050) Natural Language Processing (706) Machine Learning (1501)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38150, first published .
An End-to-End Natural Language Processing Application for Prediction of Medical Case Coding Complexity: Algorithm Development and Validation

An End-to-End Natural Language Processing Application for Prediction of Medical Case Coding Complexity: Algorithm Development and Validation

An End-to-End Natural Language Processing Application for Prediction of Medical Case Coding Complexity: Algorithm Development and Validation

Authors of this article:

He Ayu Xu1 Author Orcid Image ;   Bernard Maccari2 Author Orcid Image ;   Hervé Guillain3 Author Orcid Image ;   Julien Herzen2 Author Orcid Image ;   Fabio Agri4, 5 Author Orcid Image ;   Jean Louis Raisaro1 Author Orcid Image
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