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Prediction of Glucose Metabolism Disorder Risk Using a Machine Learning Algorithm: Pilot Study
BACKGROUND: A 75-g oral glucose tolerance test (OGTT) provides important information about glucose metabolism, although the test is expensive and invasive. Complete OGTT information, such as 1-hour and 2-hour postloading plasma glucose and immunoreactive insulin levels, may be useful for predicting...
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| Veröffentlicht in: | JMIR Diabetes |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
JMIR Publications
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6288596/ https://ncbi.nlm.nih.gov/pubmed/30478026 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/10212 |
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