Diabetes Classifier
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-Individual classification-

-Batch classification-


 
Diabetes Classifier uses a machine learning technique, Support Vector Machine(SVM), to classify and predict the diabetes and pre-diabetes. The SVM prediction models were trained based on the data from National Health and Nutrition Examination Survey (NHANES). According to the information on common risk factors you provide, the tool will make classification and prediction on your possible disease (diabetes or pre-diabetes) status.

Disclaimer: The site is only used for demonstrating the classifiction technique (SVM) used for predicting and classifying the diabetes and prediabetes disease. Any predictions from this site are not intended to provide medical advice.

How to cite this site:
Wei Yu, Tiebin Liu, Rodolfo Valdez, Marta Gwinn and Muin J. Khoury. Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes. BMC Medical Informatics and Decision Making 2010, 10:16.