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Identification of Diabetic Patients through Clinical and Para-Clinical Features in Mexico: An Approach Using Deep Neural Networks
Diabetes is a chronic and noncommunicable but preventable disease that is affecting the Mexican population at worrying levels, being the first place in prevalence worldwide. Early diabetes detection has become important to prevent other health conditions that involve low organ yield until the patien...
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| Veröffentlicht in: | Int J Environ Res Public Health |
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| Hauptverfasser: | , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6388177/ https://ncbi.nlm.nih.gov/pubmed/30700010 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijerph16030381 |
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