Expert System t
Expert System to Diagnose Multiple Diseases using Association Factor
Imran M. R.1, Moez ur Rehman2, Zia-ul Qayyum3, Aslam Muhammad4, Martinez-Enriquez A. M.5 , Afraz Z. Syed6
1,4,6Department of CS & E, UET, Lahore, Pakistan
2Department of CS, GC University, Lahore, Pakistan
3Department of Computing and Technology, IQRA University, Islamabad, Pakistan
5Department of CS, CINVESTAV-IPN, D.F., Mexico
(Corresponding author email: [email protected],edu,pk)
Abstract: Many learning algorithms exist that are routinely used as commercial system. However, given knowledge in health domain, it is difficult to train computers for the decision making and learning. The problem becomes complex when some common symptoms of multiple diseases are present. Some knowledge based systems are available to find a particular disease but cases exist where patient may have more than one illness. We focus on this issue and develop an expert system which not only finds certain disease specifically, but also diagnoses the probability of other diseases to support in prescribing enhanced treatment. The proposed system learns based on a given knowledge, creating rules for making probable decisions and finds association among symptoms occurred mutually in previous assessments. The tested results are quite satisfied and it works accordingly. The system is flexible for new rule generation and association symptoms.
[Imran M. R., Moez ur Rehman, Zia-ul Qayyum, Aslam Muhammad, Martinez-Enriquez A. M., Afraz Z. Syed. Expert System to Diagnose Multiple Diseases using Association Factor. Life Sci J 2012;9(1):542-547] (ISSN:1097-8135).http://www.lifesciencesite.com.81
Keywords: Rule based system, Disease diagnostic, Association factor Full Text 81
