An Interactive Online App for Predicting Diabetes via Machine Learning from Environment-Polluting Ch...
An Interactive Online App for Predicting Diabetes via Machine Learning from Environment-Polluting Chemical Exposure Data
About this item
Full title
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Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
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, which is an interpretable machine learning techni...
Alternative Titles
Full title
An Interactive Online App for Predicting Diabetes via Machine Learning from Environment-Polluting Chemical Exposure Data
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9142138
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9142138
Other Identifiers
ISSN
1660-4601,1661-7827
E-ISSN
1660-4601
DOI
10.3390/ijerph19105800
