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Type 2 Diabetes Risk Forecasting from EMR Data using Machine Learning

OBJECTIVE: To test the feasibility of using data collected in electronic medical records for development of effective models for diabetes risk forecasting. METHODS: Using available demographic, clinical and lab parameters of more than two thousand patients from Electronic medical records, we applied...

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Bibliografische gegevens
Hoofdauteurs: Mani, Subramani, Chen, Yukun, Elasy, Tom, Clayton, Warren, Denny, Joshua
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: American Medical Informatics Association 2012
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3540444/
https://ncbi.nlm.nih.gov/pubmed/23304333
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