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

New Methods (959) Natural Language Processing (704) Eating Disorders (79)

Published on in Vol 22, No 2 (2020): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13855, first published .
A Framework for Applying Natural Language Processing in Digital Health Interventions

A Framework for Applying Natural Language Processing in Digital Health Interventions

A Framework for Applying Natural Language Processing in Digital Health Interventions

Authors of this article:

Burkhardt Funk1 Author Orcid Image ;   Shiri Sadeh-Sharvit2, 3 Author Orcid Image ;   Ellen E Fitzsimmons-Craft4 Author Orcid Image ;   Mickey Todd Trockel3 Author Orcid Image ;   Grace E Monterubio4 Author Orcid Image ;   Neha J Goel2, 3 Author Orcid Image ;   Katherine N Balantekin4, 5 Author Orcid Image ;   Dawn M Eichen4, 6 Author Orcid Image ;   Rachael E Flatt2, 3, 7 Author Orcid Image ;   Marie-Laure Firebaugh4 Author Orcid Image ;   Corinna Jacobi8 Author Orcid Image ;   Andrea K Graham9 Author Orcid Image ;   Mark Hoogendoorn10 Author Orcid Image ;   Denise E Wilfley4 Author Orcid Image ;   C Barr Taylor2, 3 Author Orcid Image
Article Authors Cited by (31) Tweetations (10) Metrics

Journals

  1. Ferrario A, Demiray B, Yordanova K, Luo M, Martin M. Social Reminiscence in Older Adults’ Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning. Journal of Medical Internet Research 2020;22(9):e19133 View
  2. Adly A, Adly A, Adly M. Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review. Journal of Medical Internet Research 2020;22(8):e19104 View
  3. Sadeh-Sharvit S, Hollon S. Leveraging the Power of Nondisruptive Technologies to Optimize Mental Health Treatment: Case Study. JMIR Mental Health 2020;7(11):e20646 View
  4. Leung Y, Wouterloot E, Adikari A, Hirst G, de Silva D, Wong J, Bender J, Gancarz M, Gratzer D, Alahakoon D, Esplen M. Natural Language Processing–Based Virtual Cofacilitator for Online Cancer Support Groups: Protocol for an Algorithm Development and Validation Study. JMIR Research Protocols 2021;10(1):e21453 View
  5. Linton M, Jelbert S, Kidger J, Morris R, Biddle L, Hood B. Investigating the Use of Electronic Well-being Diaries Completed Within a Psychoeducation Program for University Students: Longitudinal Text Analysis Study. Journal of Medical Internet Research 2021;23(4):e25279 View
  6. Dasgupta A, Bakshi A, Mukherjee S, Das K, Talukdar S, Chatterjee P, Mondal S, Das P, Ghosh S, Som A, Roy P, Kundu R, Sarkar A, Biswas A, Paul K, Basak S, Manna K, Saha C, Mukhopadhyay S, Bhattacharyya N, De R. Epidemiological challenges in pandemic coronavirus disease (COVID‐19): Role of artificial intelligence. WIREs Data Mining and Knowledge Discovery 2022;12(4) View
  7. Sadeh-Sharvit S, Idan O, Fowler L, Fitzsimmons-Craft E, Firebaugh M, Smith A, Graham A, Goel N, Flatt R, Balantekin K, Monterubio G, Karam A, Funk B, Trockel M, Wilfley D, Taylor C. Digital guided self-help for eating disorders: thematic analysis of participant text messages to coaches. Eating Disorders 2023;31(2):191 View
  8. DeSouza D, Robin J, Gumus M, Yeung A. Natural Language Processing as an Emerging Tool to Detect Late-Life Depression. Frontiers in Psychiatry 2021;12 View
  9. Khalili-Mahani N, Holowka E, Woods S, Khaled R, Roy M, Lashley M, Glatard T, Timm-Bottos J, Dahan A, Niesters M, Hovey R, Simon B, Kirmayer L. Play the Pain: A Digital Strategy for Play-Oriented Research and Action. Frontiers in Psychiatry 2021;12 View
  10. Stoev T, Ferrario A, Demiray B, Luo M, Martin M, Yordanova K. Coping With Imbalanced Data in the Automated Detection of Reminiscence From Everyday Life Conversations of Older Adults. IEEE Access 2021;9:116540 View
  11. Valdez D, Unger J. Difficulty Regulating Social Media Content of Age-Restricted Products: Comparing JUUL’s Official Twitter Timeline and Social Media Content About JUUL. JMIR Infodemiology 2021;1(1):e29011 View
  12. Rodríguez-Rodríguez I, Rodríguez J, Shirvanizadeh N, Ortiz A, Pardo-Quiles D. Applications of Artificial Intelligence, Machine Learning, Big Data and the Internet of Things to the COVID-19 Pandemic: A Scientometric Review Using Text Mining. International Journal of Environmental Research and Public Health 2021;18(16):8578 View
  13. Su D, Li Q, Zhang T, Veliz P, Chen Y, He K, Mahajan P, Zhang X. Prediction of acute appendicitis among patients with undifferentiated abdominal pain at emergency department. BMC Medical Research Methodology 2022;22(1) View
  14. Kellogg K, Sadeh-Sharvit S. Pragmatic AI-augmentation in mental healthcare: Key technologies, potential benefits, and real-world challenges and solutions for frontline clinicians. Frontiers in Psychiatry 2022;13 View
  15. Almenara C, Baccini A. 40 years of research on eating disorders in domain-specific journals: Bibliometrics, network analysis, and topic modeling. PLOS ONE 2022;17(12):e0278981 View
  16. Crema C, Attardi G, Sartiano D, Redolfi A. Natural language processing in clinical neuroscience and psychiatry: A review. Frontiers in Psychiatry 2022;13 View
  17. Sieber C, Haag C, Polhemus A, Sylvester R, Kool J, Gonzenbach R, von Wyl V. Feasibility and scalability of a fitness tracker study: Results from a longitudinal analysis of persons with multiple sclerosis. Frontiers in Digital Health 2023;5 View
  18. Zantvoort K, Scharfenberger J, Boß L, Lehr D, Funk B. Finding the Best Match — a Case Study on the (Text-)Feature and Model Choice in Digital Mental Health Interventions. Journal of Healthcare Informatics Research 2023;7(4):447 View
  19. Boonyarat P, Liew D, Chang Y. Leveraging enhanced BERT models for detecting suicidal ideation in Thai social media content amidst COVID-19. Information Processing & Management 2024;61(4):103706 View
  20. Rubin M, Arnon H, Huppert J, Perry A. Considering the Role of Human Empathy in AI-Driven Therapy. JMIR Mental Health 2024;11:e56529 View
  21. Larsen M, Holde G, Johnsen J. Investigating Patient Satisfaction Through Web-Based Reviews of Norwegian Dentists: Quantitative Study Using the Meaning Extraction Method. Journal of Participatory Medicine 2024;16:e49262 View
  22. Hornstein S, Scharfenberger J, Lueken U, Wundrack R, Hilbert K. Predicting recurrent chat contact in a psychological intervention for the youth using natural language processing. npj Digital Medicine 2024;7(1) View
  23. Yonatan‐Leus R, Brukner H. Comparing perceived empathy and intervention strategies of an AI chatbot and human psychotherapists in online mental health support. Counselling and Psychotherapy Research 2024 View
  24. Hornstein S, Lueken U, Wundrack R, Hilbert K. Predicting Satisfaction with Chat-Counseling at a 24/7 Chat Hotline for the Youth: A Natural Language Processing Study (Preprint). JMIR AI 2024 View

Books/Policy Documents

  1. Estuar M, Victorino J, Pulmano C, Pangan Z, Alanano M, Celeres J, de Troz J, De Leon M, Rees Y, Batista-Navarro R, Lazo L. Social, Cultural, and Behavioral Modeling. View
  2. Maćkowska S, Barańska K, Różańska A, Rojewska K, Spinczyk D. Information Technology in Biomedicine. View
  3. Iapascurta V, Fiodorov I. 6th International Conference on Nanotechnologies and Biomedical Engineering. View