Published on in Vol 23, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15708, first published .
Machine Learning and Natural Language Processing in Mental Health: Systematic Review

Machine Learning and Natural Language Processing in Mental Health: Systematic Review

Machine Learning and Natural Language Processing in Mental Health: Systematic Review

Journals

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  134. Villarreal-Zegarra D, García-Serna J, Quispe-Callo G, Lázaro-Cruz G, Centeno-Terrazas G, Galvez-Arevalo R, Escobar-Agreda S, Dominguez-Rodriguez A, Reategui-Rivera C, Finkelstein J. Self-administered interventions based on natural language processing models for reducing depressive and anxious symptoms: Systematic review and meta-analysis (Preprint). JMIR Mental Health 2024 View
  135. Yasin Y, Al‐Hamad A, Metersky K, Kehyayan V. Incorporation of artificial intelligence into nursing research: A scoping review. International Nursing Review 2024 View
  136. Osman M, Cooper R, Sayer A, Witham M. The use of natural language processing for the identification of ageing syndromes including sarcopenia, frailty and falls in electronic healthcare records: a systematic review. Age and Ageing 2024;53(7) View

Books/Policy Documents

  1. V. S. A. Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease. View
  2. Chen X, Genc Y. Artificial Intelligence in HCI. View
  3. Nguyen N, Labonte-Lemoyne E, Gregoire Y, Radanielina-Hita M, Senecal S. HCI International 2022 – Late Breaking Posters. View
  4. Pangsrisomboon P, Pyae A, Thawitsri N, Liulak S. Well-Being in the Information Society: When the Mind Breaks. View
  5. Ayatollahi H. Data Science with Semantic Technologies. View
  6. Mishra S, Abbas M, Jindal K, Narayan J, Dwivedy S. Revolutions in Product Design for Healthcare. View
  7. Li R, Li H, Tang B, Au W. Current State of Art in Artificial Intelligence and Ubiquitous Cities. View
  8. Tan T, Lim S, Qiu Y, Miao C. Social Computing and Social Media: Design, User Experience and Impact. View
  9. Ahmed U, Lin J, Srivastava G. Advances in Knowledge Discovery and Data Mining. View
  10. Kumar V, Medda G, Recupero D, Riboni D, Helaoui R, Fenu G. Advances in Bias and Fairness in Information Retrieval. View
  11. Ozsonmez D, Acarman T. Intelligent Sustainable Systems. View
  12. Jay A. Transformational Leadership Styles for Global Leaders. View
  13. Lasisi R. Proceedings of the Future Technologies Conference (FTC) 2023, Volume 2. View
  14. Shoenbill K, Kasturi S, Mendonca E. Chronic Illness Care. View
  15. Hoor-Ul-Ain S, Khan A, Siddiqui S, Dey I. Computational Methods in Psychiatry. View
  16. Chahar R, Dubey A, Narang S. Advances in Communication and Applications. View
  17. Garg R, Gupta A. Advances in Data-Driven Computing and Intelligent Systems. View
  18. Daneshvar H, Boursalie O, Samavi R, Doyle T, Duncan L, Pires P, Sassi R. Artificial Intelligence for Medicine. View
  19. Afşin Y, Taşkaya Temizel T. Persuasive Technology. View
  20. Fallah A, Aghdam M. Nonlinear Approaches in Engineering Application. View