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A novel method to derive personalized minimum viable recommendations for type 2 diabetes prevention based on counterfactual explanations
Despite the growing availability of artificial intelligence models for predicting type 2 diabetes, there is still a lack of personalized approaches to quantify minimum viable changes in biomarkers that may help reduce the individual risk of developing disease. The aim of this article is to develop a...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671330/ https://www.ncbi.nlm.nih.gov/pubmed/36395096 http://dx.doi.org/10.1371/journal.pone.0272825 |