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Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56267, first published .
Doctor pointing to NLP text overlay on medical background with icons.

Natural Language Processing for Work-Related Stress Detection Among Health Professionals: Protocol for a Scoping Review

Natural Language Processing for Work-Related Stress Detection Among Health Professionals: Protocol for a Scoping Review

Journals

  1. Scherbakov D, Hubig N, Lenert L, Alekseyenko A, Obeid J. Natural Language Processing and Social Determinants of Health in Mental Health Research: AI-Assisted Scoping Review. JMIR Mental Health 2025;12:e67192 View
  2. Ştefancu E, Maricuțoiu L. Assessment of Work-Related Subjective Well-Being Using Natural Language Processing of Employee Interviews. A Proof of Principle Investigation. Psychological Reports 2025 View
  3. Ikae C, Ben Souissi S, Bieri J, Müller T, Feuz-Schlunegger M, Golz C. A scoping review of natural language processing for detecting work-related stress among health professionals. Discover Computing 2026;29(1) View
  4. Kar K, Verma G. A systematic mapping review of shared EEG signatures in stress and depression across six biomarker domains (2020–2025). Biomedical Signal Processing and Control 2026;126:110904 View
  5. Valli D. CURA CONSENT: Smart Consent Management for Modern Healthcare Documents. International Journal of Innovative Research in Advanced Engineering 2025;12(11):456 View

Books/Policy Documents

  1. Kar K, Verma G. Machine Learning, Image Processing, Network Security and Data Sciences. View

Conference Proceedings

  1. Warbhe M, Verma P. 2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS). A Review on the Applications of Natural Language Processing in Healthcare View
  2. Sivamurugan C, Gowsalya P, Jilani P, Jwithesh Kumar Y, Rohith , Sai N. 2026 IEEE International Conference on AI Engineering and Innovations (AIEI). Stress Detection and Suggestion for IT Professional Using Natural Language Processsing View