An Interactive Online App for Predicting Diabetes via Machine Learning from Environment-Polluting Chemical Exposure Data

The early prediction and identification of risk factors for diabetes may prevent or delay diabetes progression. In this study, we developed an interactive online application that provides the predictive probabilities of prediabetes and diabetes in 4 years based on a Bayesian network (BN) classifier,...

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Detalles Bibliográficos
Autores principales: Oh, Rosy, Lee, Hong Kyu, Pak, Youngmi Kim, Oh, Man-Suk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142138/
https://www.ncbi.nlm.nih.gov/pubmed/35627338
http://dx.doi.org/10.3390/ijerph19105800

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142138/
https://www.ncbi.nlm.nih.gov/pubmed/35627338
http://dx.doi.org/10.3390/ijerph19105800

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