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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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| 發表在: | JMIR Med Inform |
|---|---|
| Main Authors: | , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
JMIR Publications
2020
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| 主題: | |
| 在線閱讀: | 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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