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

Sina Rashidian 1, MSc;  Kayley Abell-Hart 2, BSc;  Janos Hajagos 2, PhD;  Richard Moffitt 2, PhD;  Veena Lingam 2, MD;  Victor Garcia 2, MD;  Chao-Wei Tsai 2, MD;  Fusheng Wang 1, 2, PhD;  Xinyu Dong 1, MSc;  Siao Sun 3, MSc;  Jianyuan Deng 2, MPhil;  Rajarsi Gupta 2, MD, PhD;  Joshua Miller 4, MD;  Joel Saltz 2, MD, PhD;  Mary Saltz 2, MD

1 Department of Computer Science, Stony Brook University , Stony Brook, NY, US

2 Department of Biomedical Informatics, Renaissance School of Medicine at Stony Brook , Stony Brook, NY, US

3 Department of Applied Mathematics and Statistics, Stony Brook University , Stony Brook, NY, US

4 Department of Medicine, Renaissance School of Medicine at Stony Brook , Stony Brook, NY, US

Corresponding Author: