Authors:

Wentong Zhang

Date Created:

Not specified

Course Title:

Professor:

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About Paper:

This research uses machine learning methods to predict the incidence of diabetes and identify drivers of the disease. The motivation for this study is that diabetes is one of the most common and dangerous chronic diseases, it cost billions ($) of medical expenditures annually and causes great suffering and inconvenience to people. Our objective is to develop a model that can accurately predict and detect diabetes and identify significant causes. Four classification models were trained on real data. We found a decision tree model successfully identified diabetes with the lowest misclassification rate and features such as HbA1c level, blood glucose, and age were significant drivers. We show how the those in the medical community might use this information to reduce diabetes in the future and the potential outcomes.

Source:

Purdue University / 2023

Topics:

No topics listed

Co-authors:

Wentong Zhang