Expert System to Diagnose Multiple Diseases using Association Factor

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 Science Journal. 2012;9(1):542- 547) (ISSN:1097-8135). http://www.lifesciencesite.com . 81

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