A Spring 2024 project for the Artificial Intelligence course (COSC 442) where the performance measures of three artificial intelligence algorithms used for disease prediction will be compared: Artificial Neural Networks (ANN), Fuzzy-based logic, and Deep Learning.
Done By: Ali Abdulla (A00786), Mariam Hussein (A00039), and Rawan Albinzayed (A00080)
Institution: American University of Bahrain
Course: COSC 442 - Artificial Intelligence
Submission Date: April 21, 2024
This file contains three implementations of machine learning algorithms (Artificial Neural Networks, Fuzzy Logic, and Support Vector Machines) and are tested in their efficiency in predicting heart disease in patients given a particular dataset. The dataset was collected researchers at UC Irvine and can be found in the following link: https://archive.ics.uci.edu/dataset/45/heart+disease.