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Graduate Projects


Project ID: 518
Author: Narendra Kumar Reddy Obbineni
Project Title: Evolutionary Artificial Neural Networks For Medical Data Classification
Semester: 2 2017
Committe Chair: Dr. Ajay Katangur
Committee Member 1: Dr. David Thomas
Project Description: Artificial Neural Networks have been increasingly used in classifying of medical data as they perform consistently better than other techniques like K-Nearest Neighbor, Decision Trees and Support Vector Machines for plain data. This project utilizes Biogeography Based Optimizer and Genetic Algorithm techniques to train a Multilayer Perceptron using the Pima Diabetes dataset using the factors such as Number of Pregnancies, Glucose, Blood Pressure, Triceps Skin Thickness, Insulin, Body Mass Index, Diabetes Pedigree Function and Age to predict whether the female patients has diabetes. The user can interact with the application either through the GUI or the Matlab IDE [1]. The user can also run the application using K-Fold cross validation technique to get a more precise estimate model of the classification algorithm prediction.
Project URL:   518.pdf