A Virtual Community for Disability Advocacy: Development of a Searchable Artificial Intelligence-Supported Platform.

Christo El Morr Pierre Maret Fabrice Muhlenbach Dhayananth Dharmalingam Rediet Tadesse Alexandra Creighton Bushra Kundi Alexis Buettgen Thumeka Mgwigwi Serban Dinca-Panaitescu Enakshi Dua Rachel Gorman

Published in: JMIR formative research (2021)

The platform ontology is flexible and can accommodate advocacy reports and disability policy and legislation from specific jurisdictions, which can be accessed in relation to the CRPD articles. The platform ontology can be expanded to fit international contexts. The virtual community supports information upload and search. Semiautomatic tagging and intelligent multilingual semantic search using natural language are enabled using artificial intelligence techniques, namely Semantic Web, machine learning, and natural language processing.

Keyphrases

artificial intelligence
machine learning
big data
mental health
healthcare
high throughput
deep learning
multiple sclerosis
autism spectrum disorder
public health
emergency department
health information
single cell