Predicting the Effects of Medical Waste in the Environment Using Artificial Neural Networks: A Case Study
Protection of the environment from medical waste hazards is becoming a serious problem. There is a big relation between medical waste and disease injury. The main idea of this study is predict the relation between medical wastes and diseases in Hashemite Kingdom of Jordan using Artificial Neural Networks (ANNs) model. There are six predictor parameters associated with solid and liquid wastes in the medical services sector which are affecting the diseases injury. This study deals with two types of diseases the first one is acute hepatitis and the other is typhoid. Generalized Regression Neural Network (GRNN) is used to predict the diseases injury. It is noticed a significant improvement in the prediction made by GRNN due to its generalization property. Results showed that all six parameters associated with solid and liquid medical wastes which have the largest regression value affect the acute hepatitis injuries and the typhoid injuries. It is also showed that the medical waste affected the typhoid injuries in large percentage so the regression is very large.
Keywords: Regression, Artificial neural networks, General Regression Network, Prediction, Medical Wastes.
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ABOUT THE AUTHORS
Qeethara Al-Shayea
Qeethara Kadhim Abdulrahman Al-Shayea is Associate Professor in Department of Management Information Systems Faculty of Economics & Administrative Sciences Al-Zaytoonah University of Jordan. She has received Ph. D. in Computer Science, Computer Science Department, University of Technology, Iraq, 2005. She received her M.Sc. degree in Computer Science, Computer Science Department from University of Technology, Iraq, 2000. She has received her High Diploma degree in information Security from Computer Science Department, University of Technology, Iraq, 1997. She has received B. Sc. Degree in Computer Science Department from University of Technology, Iraq, 1992. She is interested in Artificial Intelligent, Business Intelligence, Image Processing, Computer Vision, Coding Theory and Information Security. She has already published many papers in international journals and conferences
Ghaleb El-Refae
Ghaleb A. El-Refae is a Professor. He is president of Al Ain University of Science and Technology in United Arab of Emirates. Ghaleb A. El-Refae, has a Ph. D. and M.A in Financial Economics form USA, M. Sc and B. Sc in Accounting. His research interest is in the application of IT and IS in Business and Economics. He has already published over 30 papers in international journals and conferences
Qeethara Al-Shayea
Qeethara Kadhim Abdulrahman Al-Shayea is Associate Professor in Department of Management Information Systems Faculty of Economics & Administrative Sciences Al-Zaytoonah University of Jordan. She has received Ph. D. in Computer Science, Computer Science Department, University of Technology, Iraq, 2005. She received her M.Sc. degree in Computer Science, Computer Science Department from University of Technology, Iraq, 2000. She has received her High Diploma degree in information Security from Computer Science Department, University of Technology, Iraq, 1997. She has received B. Sc. Degree in Computer Science Department from University of Technology, Iraq, 1992. She is interested in Artificial Intelligent, Business Intelligence, Image Processing, Computer Vision, Coding Theory and Information Security. She has already published many papers in international journals and conferences
Ghaleb El-Refae
Ghaleb A. El-Refae is a Professor. He is president of Al Ain University of Science and Technology in United Arab of Emirates. Ghaleb A. El-Refae, has a Ph. D. and M.A in Financial Economics form USA, M. Sc and B. Sc in Accounting. His research interest is in the application of IT and IS in Business and Economics. He has already published over 30 papers in international journals and conferences
