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TEAM18

ML for Diabetes Prevention with KNIME

The first page provides a description of diabetes, the second explains the model used, its accuracy, and the optimal threshold. The third page allows users to enter their personal information such as gender, height, weight, etc. Finally, the last page displays the user's probability of having diabetes.

DataAppThere is one node for intro and there are 4 nodes in the DataApp, each indicating a different page. The first node provides a description ofdiabetes, the second explains the model used, its accuracy, and the optimal threshold. The third page allows users to enter their personalinformation such as gender, height, weight, etc. Finally, the last page displays the user's probability of having diabetes and allows for thresholdadjustment. Additionally, it provides suggestions on how to lower the probability of developing the disease. Model Variable Transformation First pageFourth pageThird pageCleaning test data to achieve better performanceSecond pagePre-processing and ModelIntro pageExcel Reader Diabetes DataApp Result DataApp User data DataApp VariableTransformation Model DataApp Partitioning Model Intro DataAppThere is one node for intro and there are 4 nodes in the DataApp, each indicating a different page. The first node provides a description ofdiabetes, the second explains the model used, its accuracy, and the optimal threshold. The third page allows users to enter their personalinformation such as gender, height, weight, etc. Finally, the last page displays the user's probability of having diabetes and allows for thresholdadjustment. Additionally, it provides suggestions on how to lower the probability of developing the disease. Model Variable Transformation First pageFourth pageThird pageCleaning test data to achieve better performanceSecond pagePre-processing and ModelIntro pageExcel Reader Diabetes DataApp Result DataApp User data DataApp VariableTransformation Model DataApp Partitioning Model Intro

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: lucap
Created at: 2023-02-14
On NodePit since: 2023-05-11
Last update: 2024-04-27
Created with KNIME version: v4.7.0
Tags: Web AppMachine LearningDiabetesPredictionData Science

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