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

Public (e)Health, Digital Epidemiology and Public Health Informatics (641) Natural Language Processing (644) New Methods (909) Ontologies, Classifications, and Coding (225) Attention Deficit Disorder (ADD/ADHD) (54) Data Science (225) Knowledge Translation and Implementation Science (373) Machine Learning (1385)

Published on in Vol 24, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39888, first published .
Deciphering the Diversity of Mental Models in Neurodevelopmental Disorders: Knowledge Graph Representation of Public Data Using Natural Language Processing

Deciphering the Diversity of Mental Models in Neurodevelopmental Disorders: Knowledge Graph Representation of Public Data Using Natural Language Processing

Deciphering the Diversity of Mental Models in Neurodevelopmental Disorders: Knowledge Graph Representation of Public Data Using Natural Language Processing

Authors of this article:

Manpreet Kaur1 Author Orcid Image ;   Jeremy Costello2 Author Orcid Image ;   Elyse Willis1 Author Orcid Image ;   Karen Kelm1 Author Orcid Image ;   Marek Z Reformat2, 3 Author Orcid Image ;   Francois V Bolduc1, 4, 5, 6 Author Orcid Image
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