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Hypoglycemia Prediction Using Machine Learning Models for Patients With Type 2 Diabetes
BACKGROUND: Minimizing the occurrence of hypoglycemia in patients with type 2 diabetes is a challenging task since these patients typically check only 1 to 2 self-monitored blood glucose (SMBG) readings per day. METHOD: We trained a probabilistic model using machine learning algorithms and SMBG valu...
Gorde:
| Argitaratua izan da: | J Diabetes Sci Technol |
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| Egile Nagusiak: | , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
SAGE Publications
2014
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4495530/ https://ncbi.nlm.nih.gov/pubmed/25316712 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1932296814554260 |
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