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

Information Retrieval (489) Clinical Information and Decision Making (3807) Natural Language Processing (1311) Decision Support for Health Professionals (2286) Visualization in eHealth (102) Methods and New Tools in Mental Health Research (921) Attention Deficit Disorder (ADD/ADHD) (154) Diagnostic Tools in Mental Health (447) Neurotech Innovations, Diagnostic Tools and Techniques (73)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45268, first published .
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Leveraging Knowledge Graphs and Natural Language Processing for Automated Web Resource Labeling and Knowledge Mobilization in Neurodevelopmental Disorders: Development and Usability Study

Leveraging Knowledge Graphs and Natural Language Processing for Automated Web Resource Labeling and Knowledge Mobilization in Neurodevelopmental Disorders: Development and Usability Study

Authors of this article:

Jeremy Costello1 Author Orcid Image ;   Manpreet Kaur2 Author Orcid Image ;   Marek Z Reformat1, 3 Author Orcid Image ;   Francois V Bolduc2, 4, 5, 6 Author Orcid Image
Article Authors Cited by (9) Tweetations (5) Metrics

Journals

  1. Abu-Salih B, Alotaibi S. A systematic literature review of knowledge graph construction and application in education. Heliyon 2024;10(3):e25383 View
  2. Singla A, Khanna R, Kaur M, Kelm K, Zaiane O, Rosenfelt C, Bui T, Rezaei N, Nicholas D, Reformat M, Majnemer A, Ogourtsova T, Bolduc F. Developing a Chatbot to Support Individuals With Neurodevelopmental Disorders: Tutorial. Journal of Medical Internet Research 2024;26:e50182 View
  3. Gou F, Liu J, Xiao C, Wu J. Research on Artificial-Intelligence-Assisted Medicine: A Survey on Medical Artificial Intelligence. Diagnostics 2024;14(14):1472 View
  4. Wang Q, Yang F, Quan L, Fu M, Yang Z, Wang J. Knowledge graph and its application in the study of neurological and mental disorders. Frontiers in Psychiatry 2025;16 View
  5. Zyryanov S, Parshenkov M, Yavorskiy A. Clinical trial digitalization: new opportunities for the use of artificial intelligence. Kachestvennaya Klinicheskaya Praktika = Good Clinical Practice 2025;(3):62 View
  6. Zgheib R, Naggar A, Kolankeh A, Takshe A. Toward Trustworthy AI for Autism Spectrum Disorder: A Systematic Review of Multimodal Systems, Knowledge Representation, and Clinical Integration. Information 2026;17(8):802 View
  7. Wang S, Luo N, Jiang J, Zhu C, Xiao Z, Fan W, Chen Y, Zhu X, Hu X, Xu W, Wu Z, Ma B, Meng T, Huang L, Cheng L. Prevalence and psychosocial interventions of mental disorders following traumatic spinal cord injury: a systematic review and meta-analysis based on knowledge graphs. BMC Psychiatry 2026;26(1) View

Conference Proceedings

  1. Rossner A, Dörner R, Pagel S. 2023 IEEE Sixth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE). Advancing Trustworthy Knowledge Engineering through User-Centered AI-based Systems: A Systematic Review View
  2. Barron R, Eren M, Bhattarai M, Wanna S, Solovyev N, Rasmussen K, Alexandrov B, Nicholas C, Matuszek C. 2024 12th International Symposium on Digital Forensics and Security (ISDFS). Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization View