Medical Case Retrieval using Decision Tree

Abstract

Our Expert System Software Provides a list and clinical Description of the most likely condition based on analysis of particular Symptoms. Easy focuses on the most common medical complaints that account for the majority of physician visits and Hospitalizations. Expert Systems continue to evolve for specific application in medical, this is necessary because the influx of the new information is so massive that the expert system must be specialized. The study Show the link between the use of expert systems in medical schools and within professional medical community. An Initial education in medical schools and on going communication through residency program, post doctoral fellowships and clinical usage at university hospitals with the goal of technologies transfer between the Physicians. Medical expert systems (MESs) make predictions or treatment recommendations, acting like a doctor. They have been studied and typically perform near the level of a doctor. For a variety of reasons, which are discussed here.

Existing System

 In the existing system Web search engines are used to search for medical information on the Web.  These systems provide useful information to searchers as background knowledge rather than making exact diagnosis.  Existing medical WSEs have not fully addressed these unique requirements and cannot completely fulfill medical information searchers’ needs.  All existing medical WSEs assume that searchers can form appropriate queries by themselves. However, most Internet users do not have much medical knowledge.  Frequently, a medical information searcher has only a vague idea about the problem that he is facing and does not know the proper way to clearly describe his situation in sufficient detail.  As a result, appropriate guidance is highly necessary during the medical search process.  It is extremely difficult and time-consuming for the searcher to distinguish these diseases himself by checking their detailed descriptions.

Proposed System

 In our proposed system, we present medical diagnosis expert system, a prototype intelligent medical WSE that addresses the aforementioned limitations of existing systems.  It introduces and extends expert system technology into the search engine domain.  It is the first intelligent medical WSE that extensively uses medical knowledge and questionnaire to facilitate the search process.  The idea of this project is to mimic both the way that doctors interact with patients and doctors’ differential diagnosis reasoning process, while maintaining existing medical WSEs’ strength of handling keyword queries.  It can collect enough useful information without receiving much junk information that interferes with the search process. Questionnaires can easily guide the searcher to provide the most important information about his situation.  They are user friendly and require no special user training, as they are frequently encountered in daily life.

Architecture