Proposal for Enhancing Medical Diagnosis of Disease Related With Patients Environment | ||
| Iraqi Journal of Information Technology | ||
| Article 1, Volume 6, Issue 1, January 2014, Pages 14-27 | ||
| Author | ||
| Zahraa A. Saed | ||
| Abstract | ||
| Data mining is a process that uses a variety of data analysis tools to discover patterns and relationships that can be hidden among vast amount of data. This research introduces a proposal to improve and enhance a medical diagnosis using association rules of data mining technique, especially for medical diagnosis of diseases related with patient’s environment. That proposal found new relationships and predications to support early medical diagnosis, that by build a two proposed databases: the first data base contained a basic attributes of blood and tissues for the patients. The second database contained a basic attributes of patients profile and environment. After finding all associations rules from these two proposed databases, these rules will be mixed by a proposed method to gain a new rules give new patterns will predict relations among the physiology and environment of patients and disease. | ||
| Keywords | ||
| data mining; Association Rules; medical diagnosis and environment disease | ||
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