Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development

BACKGROUND: The study of adverse childhood experiences and their consequences has emerged over the past 20 years. Although the conclusions from these studies are available, the same is not true of the data. Accordingly, it is a complex problem to build a training set and develop machine-learning mod...

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Detalles Bibliográficos
Autores principales: Ammar, Nariman, Shaban-Nejad, Arash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673979/
https://www.ncbi.nlm.nih.gov/pubmed/33146623
http://dx.doi.org/10.2196/18752

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673979/
https://www.ncbi.nlm.nih.gov/pubmed/33146623
http://dx.doi.org/10.2196/18752

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