The design and creation of a malaria diagnosing expert system
Keywords:
Malaria Diagnosis, Malaria Treatment, Expert System, Diagnosing Expert System, Malaria Diagnosing SystemAbstract
Malaria kills about one million, two hundred thousand (1.2 million) people every year. Medical doctors are in limited supply, and provide somewhat expensive services. There is, therefore, the need to build computer-based systems that can assist doctors in diagnosing and recommending treatment for malaria to fill the supply gap and reduce the attendant costs, upon which this research is focused. The expert system would diagnose and recommend treatment of malaria from symptoms and blood test result provided by user patient. The expert system was created based on medical expert information collected through structured interviews, extensive literature review, and adopting the waterfall software development method. The system is towards reducing deaths associated with malaria and towards improved health care services, and is a guide to designing similar systems.
References
Guardian, (2012) Malaria deaths Research. Retrieved from: http://www.guardian.co.uk/society/2012/feb/03/malaria-deaths-research.
Wikipedia, (2012) Malaria. Retrieved from: http://en.wikipedia.org/wiki/Malaria
Africapedia (2012). Doctor to Patient Ratio in Africa. Retrieved from: http://www.africapedia.com/DOCTOR-TOPATIENT-RATIO-IN-AFRICA
Oates, B. J. (2009). Researching Information Systems and Computing. London: SAGE
Hughes, B. and Cotterell, M. (2009). Software Project Management. London: McGraw-Hill Education
Yogi, B. (2012). Software Development Life Cycle. Retrieved from: condor.depaul.edu/jpetlick/extra/394/Session2.ppt
Stair, R. M., & Reynolds, G. W. (2007). Fundamentals of Information Systems. Boston: Course Technology
Nammuni, K., Pickering, C., Modgil, S., Montgomery, A., Hammond, P., Wyatt, J.C., Altman, D.G., Dunlop, R., & Potts, H.W.W. (2004) Design-trial: a rule-based decision support system for clinical trial design. Knowledge-Based Systems, Vol. 17, Pages 121–129.
OpenClinical (2012). Retrieved from: http://www.openclinical.org/aiinmedicine.html)
Awodele, O. and Omotunde, A. (2011) General Introduction to Artificial Intelligence. Ibadan: FrancoOla. Pp 5-50.
WikiAnswers (2012). The advantages and disadvantages of expert system. Retrieved from: http://wiki.answers.com/Q/What_are_the_advantages_and_disadvantages_of_expert_system
Buchanan, B.G., and Shortliffe, E.H. (1984). RuleBased Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project. Retrieved from: http://www.amia.org/staff/eshortliffe/BuchananShortliffe-1984/MYCIN%20Book.htm
Rodionov, V. (1989). Diagnosis is made by XDIS. Retrieved from: http://mipt.soix.com/xdis.html
Herzner, J. and Kubiska, M. (1992). Expert System Example. Retrieved from: http://www.rpi.edu/dept/chem-eng/BiotechEnviron/EXPERT/expmed.html
YourDiagnosis (2012). Website. Retrieved from: http://yourdiagnosis.com
Gideon (2012) Global Infectious Disease Epidemiology Network. Retrieved from: http://www.gideononline.com/.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2013 COMPUSOFT: An International Journal of Advanced Computer Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
©2023. COMPUSOFT: AN INTERNATIONAL OF ADVANCED COMPUTER TECHNOLOGY by COMPUSOFT PUBLICATION is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at COMPUSOFT: AN INTERNATIONAL OF ADVANCED COMPUTER TECHNOLOGY. Permissions beyond the scope of this license may be available at Creative Commons Attribution 4.0 International Public License.
