Abstract
An advisory system has always been a central need for medical practitioners and specialists for the last few decades. Most of current medical retrieval systems are based on passive databases. Actually, the data stored in any information storage system is a rich source of knowledge, which needs appropriate techniques to discover. This paper introduces the design of a well-structured knowledge-base system that holds patient medical records. The proposed system will be equipped with data mining and AI techniques such as statistics, neural network, fuzzy logic, generic algorithm, etc., so that it becomes an active distributed medical advisory system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Russel, S., Norvig, P.: Artificial Intelligence, A Modern Approach, 2nd edn. Pearson Education, London (2003)
Bratko, I.: Prolog Programming for Artificial Intelligence, 3rd edn. Pearson Education (2001)
Robinson S., Edwards S., Yongfa, W.: An expert systems approach to simulating the human decision maker, http://portal.acm.org/citation.cfm (accessed on March 10, 2005)
Coiera, E.: Open Medical- Knowledge Management for Medical Care, AI Systems in Medical Practice, http://www.openclinical.org/aisinpractice.html (accessed on March 7, 2005)
Han, J., Kamber, M.: Data Mining Concepts and Techniques. Morgan Kaufmann Publishers, San Francisco (2001)
Fayyad, U.M., et al.: Advances in knowledge discovery and Data Mining. AAAI press/The MIT Press (1996)
Comer, E.D.: Internetworking with TCP/IP Principles, Protocols, and Architectures, 4th edn., vol. 1. Prentice Hall, Englewood Cliffs (2000)
Peterson, L.L., Davie, B.S.: Computer Networks, A System Approach, 3rd edn. Morgan Kaufmann, San Francisco (2003)
Makofske, D., Almeroth, K.: Multicast Sockets, Practical Guide for Programmers. Morgan Kaufmann, San Francisco (2003)
Russ, J.C.: The Image Processing and Analysis Cookbook. Reindeer Graphics, Inc. (2001)
Baxes, A.G.: Digital Image Processing–Principles and Applications. John Wiley & Sons, Chichester (1994)
Briggs, G.: Pocket Guide to chest X-rays. McGraw-Hill, New York (2004)
Corne, J., et al.: Chest X-Ray Made Easy. Churchill Livingstone (2002)
Sharma, S.: Lung Cancer, Non Small Cell, http://www.emedicine.com/radio/ (August 30, 2004) (Accessed on February 27, 2005)
Watman, C., Le, K.: Gravity Segmentation of Human Lungs from X-ray Images for Sickness Classification. In: Fourth International Conference on Intelligent Technologies (In-Tech 2003), pp. 428–434 (2003)
Watman, C., Le, K.: Fuzzy analysis of X-ray images for automated disease examination. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds.) KES 2004. LNCS (LNAI), vol. 3214, pp. 491–497. Springer, Heidelberg (2004)
MEDPIX Website: http://rad.usuhs.mil/medpix/medpix.html
Beucher, S., Meyer, F.: The Morphological Approach of Segmentation: The Watershed Transformation. In: Dougherty, E. (ed.) Mathematical Morphology in Image Processing, pp. 43–481. Marcel Dekker, New York (1992)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Al-Kabir, Z.W., Le, K., Sharma, D. (2005). MEDADVIS: A Medical Advisory System. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552451_108
Download citation
DOI: https://doi.org/10.1007/11552451_108
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28895-4
Online ISBN: 978-3-540-31986-3
eBook Packages: Computer ScienceComputer Science (R0)