Saturday 20th of April 2024
 

An Effective Intelligent Model for Medical Diagnosis


Mohamed El-Rashidy, Taha E. Taha, Nabil Ayad and Hoda Sroor

A hybrid data mining model is proposed for finding an optimal number of different pathological types of any disease, and extracting the most significant features for each pathological type. This model is improved in order to reach the fewer subsets of features that have the most impact distinctive of each pathological type. This improvement is lead to the great importance in the decision making of the diagnosis process without confusion or ambiguity between the different variations of the diseases. This model and its optimization are based on fuzzy clustering, nearest neighbor classification, sequential backward search method, and averaging schema for features selection. Experiments have been conducted on three real medical datasets that have different diagnoses. The results show that the highest classification performance is obtained using our optimized model, and this is very promising compared to Navebayes, Linear and Polykernal Support Vector Machine (SVM), Artificial Neural Network (ANN), and Support Feature Machines (SFM) models.

Keywords: Data Mining, Fuzzy Clustering, Nearest Neighbor Classification, Features Selection.

Download Full-Text


ABOUT THE AUTHORS

Mohamed El-Rashidy
obtained his Master degree in computer science and engineering, 2008. Currently, he is working as a Lecturer Assistant in the Dept. of Computer Science and Engineering, Faculty of Electronic Engineering, 32952, Menouf, Menoufiya University -Egypt. Areas of interest of the author include data mining and bioinformatics.

Taha E. Taha
was born in Tanta, Egypt, on October 11, 1946. He received the B.Sc. degree (with distinction) in communication engineering from Menoufiya University, Egypt, in June 1969, the M.Sc. degree in communication engineering from Helwan University, Egypt, in April 1978, and the Ph.D. degree (very honorable) in electronic engineering from the National Polytechnic Institute, Toulouse, France, in June 1985. From September 1969 to July 1978, he was a Demonstrator, in July 1978, he was an Assistant Lecturer, in November 1985, he was a Lecturer, in February 1990, he was an Assistant Professor, and in September 1995, he was named Professor, all in the Faculty of Electronic Engineering, Menoufiya University, Communication Department,. He was appointed Vice Dean from February 2002 to October 2005, and Head of the Communication Department, from November 2005 to July 2007. At present, he is an Emeritus Professor at the same department. His main research interests are surface acoustic wave devices, optical devices, superconductor devices, medical applications of ultrasound, and bioinformatics.

Nabil Ayad
received Ph.D degree in CSE from Cairo University, in 1984. He is working as vice chairman for reactors division, Nuclear Research Center, Atomic Energy Authority- Egypt. He is a member of IEEE. His main research interests database and networks.

Hoda Sroor
received Ph.D degree in CSE from Menoufiya University, in 1991. She is working as Professor in Dept. of Computer Science and Engineering, Faculty of Electronic Engineering, 32952, Menouf, Menoufiya University- Egypt, her main research interests parallel processing and database.


IJCSI Published Papers Indexed By:

 

 

 

 
+++
About IJCSI

IJCSI is a refereed open access international journal for scientific papers dealing in all areas of computer science research...

Learn more »
Join Us
FAQs

Read the most frequently asked questions about IJCSI.

Frequently Asked Questions (FAQs) »
Get in touch

Phone: +230 911 5482
Email: info@ijcsi.org

More contact details »