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

Ontologies, Classifications, and Coding (243) Artificial Intelligence (1421) Machine Learning (1501) Quality Improvement (260) Artificial Intelligence in Diabetes Care and Prevention (29)

Published on in Vol 8, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22649, first published .
Detecting Miscoded Diabetes Diagnosis Codes in Electronic Health Records for Quality Improvement: Temporal Deep Learning Approach

Detecting Miscoded Diabetes Diagnosis Codes in Electronic Health Records for Quality Improvement: Temporal Deep Learning Approach

Detecting Miscoded Diabetes Diagnosis Codes in Electronic Health Records for Quality Improvement: Temporal Deep Learning Approach

Authors of this article:

Sina Rashidian1 Author Orcid Image ;   Kayley Abell-Hart2 Author Orcid Image ;   Janos Hajagos2 Author Orcid Image ;   Richard Moffitt2 Author Orcid Image ;   Veena Lingam2 Author Orcid Image ;   Victor Garcia2 Author Orcid Image ;   Chao-Wei Tsai2 Author Orcid Image ;   Fusheng Wang1, 2 Author Orcid Image ;   Xinyu Dong1 Author Orcid Image ;   Siao Sun3 Author Orcid Image ;   Jianyuan Deng2 Author Orcid Image ;   Rajarsi Gupta2 Author Orcid Image ;   Joshua Miller4 Author Orcid Image ;   Joel Saltz2 Author Orcid Image ;   Mary Saltz2 Author Orcid Image
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