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Author:

Camero, Dabis

Title:

DIABETES PREDICTION USING ANFIS WITH AUTOENCODING AND KALMAN FILTER

Graduate Program:

Electrical Engineering

Keywords:

Diabetes
predictive models
early diagnosis
World Health Organization (WHO)
Adaptive Neuro-Fuzzy Inference System (ANFIS)
Autoencoding
Kalman filtering
hybrid model
dimensionality reduction
feature extraction
BRFSS dataset
medical informatics
healthcare analytics
Explainable AI
chronic diseases
model generalizability
Computational Complexity
Outliers
Interpretability

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Committee Members:

Aldo W Morales, Thesis Advisor/Co-Advisor
Truong Xuan Tran, Committee Member
Rafic Bachnak, Professor in Charge/Director of Graduate Studies
Jason Martis, Committee Member
Sannidhan M S, Committee Member