Published on in Vol 4 , No 8 (2020) :August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16422, first published .
Occupation Coding of Job Titles: Iterative Development of an Automated Coding Algorithm for the Canadian National Occupation Classification (ACA-NOC)

Occupation Coding of Job Titles: Iterative Development of an Automated Coding Algorithm for the Canadian National Occupation Classification (ACA-NOC)

Occupation Coding of Job Titles: Iterative Development of an Automated Coding Algorithm for the Canadian National Occupation Classification (ACA-NOC)

Journals

  1. Wan W, Ge C, Friesen M, Locke S, Russ D, Burstyn I, Baker C, Adisesh A, Lan Q, Rothman N, Huss A, van Tongeren M, Vermeulen R, Peters S. Automated Coding of Job Descriptions From a General Population Study: Overview of Existing Tools, Their Application and Comparison. Annals of Work Exposures and Health 2023 View
  2. McMullin B, Fraser J, Robinson B, French J, Adisesh A. Work-related injuries and attendance at a Canadian regional emergency department. Occupational Medicine 2023;73(3):138 View
  3. Safikhani P, Avetisyan H, Föste-Eggers D, Broneske D. Automated occupation coding with hierarchical features: a data-centric approach to classification with pre-trained language models. Discover Artificial Intelligence 2023;3(1) View
  4. Russ D, Josse P, Remen T, Hofmann J, Purdue M, Siemiatycki J, Silverman D, Zhang Y, Lavoué J, Friesen M. Evaluation of the updated SOCcer v2 algorithm for coding free-text job descriptions in three epidemiologic studies. Annals of Work Exposures and Health 2023 View