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