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

Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (27) Natural Language Processing (692) Decision Support for Health Professionals (1185) Tools, Programs and Algorithms (266)

Published on in Vol 10, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38155, first published .
Multicenter Validation of Natural Language Processing Algorithms for the Detection of Common Data Elements in Operative Notes for Total Hip Arthroplasty: Algorithm Development and Validation

Multicenter Validation of Natural Language Processing Algorithms for the Detection of Common Data Elements in Operative Notes for Total Hip Arthroplasty: Algorithm Development and Validation

Multicenter Validation of Natural Language Processing Algorithms for the Detection of Common Data Elements in Operative Notes for Total Hip Arthroplasty: Algorithm Development and Validation

Authors of this article:

Peijin Han1 Author Orcid Image ;   Sunyang Fu2 Author Orcid Image ;   Julie Kolis3 Author Orcid Image ;   Richard Hughes3 Author Orcid Image ;   Brian R Hallstrom3 Author Orcid Image ;   Martha Carvour4 Author Orcid Image ;   Hilal Maradit-Kremers2, 5 Author Orcid Image ;   Sunghwan Sohn2 Author Orcid Image ;   VG Vinod Vydiswaran6, 7 Author Orcid Image
Article Authors Cited by (7) Tweetations (3) Metrics

Journals

  1. Nugen F, Vera Garcia D, Sohn S, Mickley J, Wyles C, Erickson B, Taunton M. Application of Natural Language Processing in Total Joint Arthroplasty: Opportunities and Challenges. The Journal of Arthroplasty 2023;38(10):1948 View
  2. Liu S, Wen A, Wang L, He H, Fu S, Miller R, Williams A, Harris D, Kavuluru R, Liu M, Abu-el-Rub N, Schutte D, Zhang R, Rouhizadeh M, Osborne J, He Y, Topaloglu U, Hong S, Saltz J, Schaffter T, Pfaff E, Chute C, Duong T, Haendel M, Fuentes R, Szolovits P, Xu H, Liu H. An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C). Journal of the American Medical Informatics Association 2023;30(12):2036 View
  3. Calley D, Fu S, Hamilton M, Kalla A, Lee C, Rasmussen V, Hollman J, Liu H. Assessment of Gender Differences in Letters of Recommendation for Physical Therapy Residency Applications. Journal of Physical Therapy Education 2024 View
  4. Fu S, Wang L, He H, Wen A, Zong N, Kumari A, Liu F, Zhou S, Zhang R, Li C, Wang Y, St Sauver J, Liu H, Sohn S. A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction. Journal of the American Medical Informatics Association 2024;31(7):1493 View
  5. Huang D, Whitehead C, Kuper A. Competing discourses, contested roles: Electronic health records in medical education. Medical Education 2024;58(12):1490 View
  6. Mickley J, Kaji E, Khosravi B, Mulford K, Taunton M, Wyles C. Overview of Artificial Intelligence Research Within Hip and Knee Arthroplasty. Arthroplasty Today 2024;27:101396 View
  7. Hu Z, Wang A, Duan Y, Zhou J, Hu W, Wu S. Toward Better Semantic Interoperability of Data Element Repositories in Medicine: Analysis Study. JMIR Medical Informatics 2024;12:e60293 View