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

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