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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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| Veröffentlicht in: | JMIR Med Inform |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
JMIR Publications
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7673979/ https://ncbi.nlm.nih.gov/pubmed/33146623 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/18752 |
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