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

Formative Evaluation of Digital Health Interventions (2226) Machine Learning (1400) Natural Language Processing (650) Cost-Effectiveness and Economics (234) Safety and Error Prevention in Health (187) Artificial Intelligence in Surgery and Perioperative Medicine (24) New and Emerging Methods and Tools in Surgery and Anaesthesiology (40)

Published on in Vol 5, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22461, first published .
Neural Machine Translation–Based Automated Current Procedural Terminology Classification System Using Procedure Text: Development and Validation Study

Neural Machine Translation–Based Automated Current Procedural Terminology Classification System Using Procedure Text: Development and Validation Study

Neural Machine Translation–Based Automated Current Procedural Terminology Classification System Using Procedure Text: Development and Validation Study

Authors of this article:

Hyeon Joo1, 2 Author Orcid Image ;   Michael Burns2 Author Orcid Image ;   Sai Saradha Kalidaikurichi Lakshmanan2 Author Orcid Image ;   Yaokun Hu2 Author Orcid Image ;   V G Vinod Vydiswaran1, 3 Author Orcid Image
Article Authors Cited by (5) Tweetations (4) Metrics

Hyeon Joo   1, 2 , MHI, MS ;   Michael Burns   2 , MD, PhD ;   Sai Saradha Kalidaikurichi Lakshmanan   2 , MS ;   Yaokun Hu   2 , MS ;   V G Vinod Vydiswaran   1, 3 , PhD

1 Department of Learning Health Sciences, University of Michigan, Ann Arbor, MI, United States

2 Department of Anesthesiology, University of Michigan, Ann Arbor, MI, United States

3 School of Information, University of Michigan, Ann Arbor, MI, United States

Corresponding Author:

  • Hyeon Joo, MHI, MS
  • Department of Learning Health Sciences
  • University of Michigan
  • North Campus Research Center
  • Ann Arbor, MI, 48109
  • United States
  • Phone: 1 7347649826
  • Email: thejoo@umich.edu