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Major

Business Administration

Anticipated Graduation Year

2022

Access Type

Open Access

Abstract

This research project was conducted in hopes of comparing the use of association analysis, decision trees, and neural networks to guide the diagnosis of diabetes mellitus in the ICU with no prior health history from the patient.

Faculty Mentors & Instructors

Carolyn Kmet, Senior Lecturer, Quinlan School of Business Information Systems

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

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Evaluation of the Use of Association Analysis, Decision Trees, and Neural Networks to Guide the Diagnosis of Diabetes Mellitus

This research project was conducted in hopes of comparing the use of association analysis, decision trees, and neural networks to guide the diagnosis of diabetes mellitus in the ICU with no prior health history from the patient.