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

Journals

  1. Saban M, Lutski M, Zucker I, Uziel M, Ben-Moshe D, Israel A, Vinker S, Golan-Cohen A, Laufer I, Green I, Eldor R, Merzon E. Identifying Diabetes Related-Complications in a Real-World Free-Text Electronic Medical Records in Hebrew Using Natural Language Processing Techniques. Journal of Diabetes Science and Technology 2024 View

Books/Policy Documents

  1. Sun S, Wang F, Rashidian S, Kurc T, Abell-Hart K, Hajagos J, Zhu W, Saltz M, Saltz J. Heterogeneous Data Management, Polystores, and Analytics for Healthcare. View