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An application offering streamlined personalized reports based on the collected data.
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Outputs the risk factor score of diabetes out of 50 given few viable inputs from the user.
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Achieved an accuracy of 80% on Logistic Regression with K fold cross-validation.
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This version is a prototype web app.
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Download/Fork the Repository and run app.py to view the webapp in local host [ http://127.0.0.1:5000/]
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An application offering streamlined personalized reports based on the collected data.
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PaletiKrishnasai/Diabetes-Milletus-Risk-Index-Generator
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An application offering streamlined personalized reports based on the collected data.
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