The week's pick
Random Articles
Reseach Article
Medical Expert System- A Comprehensive Review
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 130 - Number 7 |
| Year of Publication: 2015 |
| Authors: Rimpy Nohria |
10.5120/ijca2015907046
|
Rimpy Nohria . Medical Expert System- A Comprehensive Review. International Journal of Computer Applications. 130, 7 ( November 2015), 44-50. DOI=10.5120/ijca2015907046
Abstract
Diseases must be treated healthy and on time. If they are not treated lying on time, they can escort to many health problems with these problems might become the reason of death. These problems are becoming inferior due to the scarcity of specialists, health facilities and practitioners. In an attempt to address such problems, studies ended attempts toward design and develop expert systems which can present advice for physicians and patients to make easy the diagnosis along with recommend treatment of patients. This review paper represents a comprehensive study of medical expert systems used for diagnosis of various diseases. It provides a concise overview of medical diagnostic expert systems along with presents an analysis of already existing studies.
References
- B. Prasad, H. Wood, J. Greer, G. McCalla, “A knowledge-based system for tutoring bronchial asthma diagnosis” proceedings of Second Annual IEEE Symposium on Computer-Based Medical Systems 1989 IEEE.
- E. Bursuk, M. Ozkan, B. Llerigelen, “A medical expert system in cardiological diseases” proceedings of Engineering in Medicine and Biology twenty first Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society 1999 IEEE.
- S Ali, P Chia, K Ong, “Graphical Knowledge – Based Protocols for Chest Pain Management” proceedings of the Computers in Cardiology 1999 IEEE.
- F. Ibrahim, J.B. Ali, A.F. Jaais, M.N. Taib, “Expert system for early diagnosis of eye diseases infecting the Malaysian population”, proceedings of IEEE Region tenth International Conference on Electrical and Electronic Technology TENCON 2001 IEEE.
- Neshat, M, Yaghobi, M, Naghibi, M.B, Esmaelzadeh, A, “Fuzzy Expert System Design for Diagnosis of Liver Disorders” proceedings of Knowledge Acquisition and Modeling, KAM eighth International Symposium 2008 IEEE.
- Solomon Gebremariam, “A Self Learning Knowledge Based System for Diagnosis and Treatment of Diabetes”, Master’s thesis, Addis Ababa University, Ethiopia.
- Samy S. Abu Naser, Abu Zaiter A. Ola, “An Expert System for Diagnosing Eye Diseases Using CLIPS”, Journal of Theoretical and Applied Information Technology, pp. 923-930, 2005-2008 JATIT.
- Eugena Roventa, George Rosu, “The Diagnosis of Some Kidney Diseases in a PROLOG Expert System”, proceedings of the third international workshop on Soft Computing Applications 2009 IEEE.
- Azian Azamimi Abdullah, Zulkarnay Zakaria, Nur Farahiyah Mohammad, “Design and Development of Fuzzy Expert System for Diagnosis of Hypertension”, Second International Conference on Intelligent Systems, Modelling and Simulation 2011 IEEE.
- Bekaddour Fatima, Chikh Mohammed Amine, “A NEURO-FUZZY INFERENCE MODEL FOR BREAST CANCER RECOGNITION”, International Journal of Computer Science & Information Technology (IJCSIT), Vol. 4, No. 5, October 2012.
- Maitri Patel, Atul Patel, Paresh Virparia, “Rule Based Expert System for Viral Infection Diagnosis”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 3, Issue 5, May 2013.
- Jimmy Singla, “The Diagnosis of Some Lung Diseases in a PROLOG Expert System”, International Journal of Computer Applications, vol. 78, no. 15, pp. 37-40, September 2013.
- A. Kaur and A. Bhardwaj, "Artificial Intelligence in Hypertension Diagnosis: A Review", International Journal of Computer Science and Information Technologies, Vol. 5(2), pp. 2633-2635, 2014.
- Hossain, M.S, Khalid, M.S, Akter, S, Dey, S., “A belief rule-based expert system to diagnose influenza”, proceedings of Strategic Technology ninth International Forum 2014 IEEE.
- Komal R. Hole, Vijay S. Gulhane, “Rule-Based Expert System for the Diagnosis of Memory Loss Diseases”, International Journal of Innovative Science, Engineering & Technology, Vol. 1, Issue 3, May 2014.
- Noura Ajam, “Heart Disease Diagnosis using Artificial Neural Network”, IISTE Network and Complex Systems, Vol. 5, No. 4, 2015.
- Md. S. Hossain, K. Andersson, S. Naznin, “A Belief Rule Based Expert System to Diagnose Measles under Uncertainty”, Int’1 Conference Health Informatics and Medical Systems, HIMS’ 15.
Index Terms
Keywords