First Advisor
Dorcas Ofori-Boateng
Date of Award
Spring 6-8-2025
Document Type
Thesis
Degree Name
Bachelor of Science (B.S.) in Data Science and University Honors
Department
Mathematics and Statistics
Language
English
Subjects
time series, diabetes mellitus, ARIMA, forecasting
DOI
10.15760/honors.1668
Abstract
People living with Diabetes Mellitus face significant health risks, including an increased likelihood of heart disease, stroke, and fluctuations in blood glucose levels. The unpredictable nature of glucose levels can lead to dangerous conditions such as ketoacidosis and hypoglycemia. This study employs advanced time series analysis tools to forecast the glucose levels for an individual diagnosed with Type 1 Diabetes Mellitus.
Rights
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Persistent Identifier
https://archives.pdx.edu/ds/psu/43749
Recommended Citation
Ruff, MJ, "Temporal Modeling and Forecasting of Blood Glucose Dynamics in Individuals With Diabetes Mellitus" (2025). University Honors Theses. Paper 1636.
https://doi.org/10.15760/honors.1668