Title: Antibiotic Susceptibility Prediction Using JNN
Authors: Ahmed Jabara Abu Oriban, Shaima Naji Abdel-Al, Nourhan Abdel Moneim Fouda, Samy S. Abu-Naser
Volume: 4
Issue: 11
Pages: 1-6
Publication Date: 2020/11/28
Abstract:
In this research, an Artificial Neural Network (ANN) model was developed and validated to predict efficiency of antibiotics in treating various bacteria types. Attributes that were taken in account are: organism name, specimen type, and antibiotic name as input and susceptibility as an output. A model based on one input layer, one hidden layer, and one output layer concept topology was developed and trained using a data from Queensland government's website. The evaluation shows that the proposed ANN model using JNN tool is capable of correctly predicting the susceptibility of organisms to the antibiotics with 94.17% accuracy.