background: liver cirrhosis was one of the most important liver diseases. other chronic liver diseases could be lead to liver cirrhosis. liver cirrhosis could be lead one kind of liver cancers named hepatocellular carcinoma. cirrhosis in the early stages just by laboratory and imaging testes could be diagnosed. in this study cirrhotic patients were classified based on laboratory symptoms. for t...

background we aimed to identify the indicators of healthcare fraud and abuse in general physicians’ drug prescription claims, and to identify a subset of general physicians that were more likely to have committed fraud and abuse.   methods we applied data mining approach to a major health insurance organization dataset of private sector general physicians’ prescription claims. it involved 5 ste...

drug addiction is a major social, economic, and hygienic challenge that impacts on all the community and needs serious threat. available treatments are successful only in short-term unless underlying reasons making individuals prone to the phenomenon are not investigated. nowadays, there are some treatment centers which have comprehensive information about addicted people. therefore, given the ...

today a significant part of available data is saved in text database or text documents. the most important thing is to organize these documents. one way to organize text documents is to classify them. to classify texts is to assign text documents to their actual categories. this has two main steps, i.e. feature- and learning algorithm selection. there have been several methods suggested to clas...

objectives in order to increase the classification accuracy of airs, this study introduces a new hybrid system that incorporates a support vector machine into airs for diagnosing tuberculosis. background tuberculosis (tb) is a major global health problem, which has been ranked as the second leading cause of death from an infectious disease worldwide. diagnosis based on cultured specimens is the...

identifying clusters or clustering is an important aspect of data analysis. it is the task of grouping a set of objects in such a way those objects in the same group/cluster are more similar in some sense or another. it is a main task of exploratory data mining, and a common technique for statistical data analysis this paper proposed an improved version of k-means algorithm, namely persistent k...

background : breast cancer survival has been analyzed by many standard data mining algorithms. a group of these algorithms belonged to the decision tree category. ability of the decision tree algorithms in terms of visualizing and formulating of hidden patterns among study variables were main reasons to apply an algorithm from the decision tree category in the current study that has not studied...

objective: diabetes is one of the most common metabolic diseases. earlier diagnosis of diabetes and treatment of hyperglycemia and related metabolic abnormalities is of vital importance. diagnosis of diabetes via proper interpretation of the diabetes data is an important classification problem. classification systems help the clinicians to predict the risk factors that cause the diabetes or pre...