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

Journals

  1. Levy J, Vattikonda N, Haudenschild C, Christensen B, Vaickus L. Comparison of machine-learning algorithms for the prediction of Current Procedural Terminology (CPT) codes from pathology reports. Journal of Pathology Informatics 2022;13:100165 View
  2. Mellinghoff S, Bruns C, Al-Monajjed R, Cornely F, Grosheva M, Hampl J, Jakob C, Koehler F, Lechmann M, Maged B, Otto-Lambertz C, Rongisch R, Rutz J, Salmanton-Garcia J, Schlachtenberger G, Stemler J, Vehreschild J, Wülfing S, Cornely O, Liss B. Harmonized procedure coding system for surgical procedures and analysis of surgical site infections (SSI) of five European countries. BMC Medical Research Methodology 2022;22(1) View
  3. Greenburg J, Lu Y, Lu S, Kamau U, Hamilton R, Pettus J, Preum S, Vaickus L, Levy J. Development of an interactive web dashboard to facilitate the reexamination of pathology reports for instances of underbilling of CPT codes. Journal of Pathology Informatics 2023;14:100187 View
  4. Zappatore M, Ruggieri G. Adopting machine translation in the healthcare sector: A methodological multi-criteria review. Computer Speech & Language 2024;84:101582 View
  5. Khodadadi A, Ghanbari Bousejin N, Molaei S, Kumar Chauhan V, Zhu T, Clifton D. Improving Diagnostics with Deep Forest Applied to Electronic Health Records. Sensors 2023;23(14):6571 View
  6. Morey J, Winters R, Jones D. Artificial Intelligence to Predict Billing Code Levels of Emergency Department Encounters. Annals of Emergency Medicine 2024 View