Investigation of data mining procedure from medical informationbank using fuzzy logic approach

Data mining seeks to discover knowledge from raw data. Data mining has a very old history. Data mining is atechnique that discovers unknown relationships between data. This definition belongs to Oracle. Data miningis a science that seeks to extract hidden patterns in data. The large volume of medical data and the resultingconfusion It has made it inevitable to use data mining to identify these patterns, thus data mining will be usedto overcome this problem and obtain useful relationships between different data features to extract usefulknowledge for medical practice Health is continuously producing a large amount of data, especially with theprogress of societies, the attention to the health of people in society is increasing. This increasing productionof data has caused a wide gap between their collection and interpretation Relatively young and growing, datamining in health is one of the methods that can benefit this industry from the deep analysis of these data andlead to the development of medical research and scientific decisions in the field of diagnosis and treatment.Data mining in medicine and biology is an important part of bio-medical informatics and it is one of the mostapplied computer sciences in this science that has been used in hospitals, clinics, laboratories and researchcenters. integrated information systems and the growth of information technology, this importance has beenhighlighted more than before. The main goal of this article is to use a method based on the fuzzy decision tree,which is one of the classification methods in the field of data mining, to extract from medical databases

Keywords:

fuzzy system , database , data mining , fuzzy logic.