In this paper, we introduce integrated data mining. Because of recent rapid progress in medical science as well as clinical diagnosis and treatment, integrated and cooperative research among medical researchers, biology, engineering, cultural science, and sociology is required. Therefore, we propose a framework called Cyber Integrated Medical Infrastructure (CIMI). Within this framework, we can deal with various types of data and consequently need to integrate those data prior to analysis. In this study, for medical science, we analyze the features and relationships among various types of data and show the possibility of integrated data mining
In this paper we provide an overview on interactive and integrative knowledge discovery and data min...
This paper discusses several data mining algorithms and techniques that we have developed at the Uni...
Artificial Intelligence Lab, Department of MIS, University of ArizonaThis paper discusses several da...
From lessons learned in medical data mining projects we show that integration of advanced computatio...
Due to the vast improvement in IT sectors ,the popularity health care organization conserve there da...
As computerization in healthcare services increase, the amount of available digital data is growing ...
Due to the vast improvement in IT sectors ,the popularity health care organization conserve there da...
Due to the vast improvement in IT sectors ,the popularity health care organization conserve there da...
Health care information systems tend to capture data for their research in order to promote the leve...
Abstract — Data mining is defined as a computational process of pattern detection from large dataset...
A large amount of studies show that real-world study has strong external validity than the tradition...
Health care industry produces enormous quantity of data that clutches complex information relating t...
Health care industry produces enormous quantity of data that clutches complex information relating t...
This study investigated the extent of use of data mining on electronic health records to support evi...
Abstract-Data mining is the process of extracting hidden information from a large set of database an...
In this paper we provide an overview on interactive and integrative knowledge discovery and data min...
This paper discusses several data mining algorithms and techniques that we have developed at the Uni...
Artificial Intelligence Lab, Department of MIS, University of ArizonaThis paper discusses several da...
From lessons learned in medical data mining projects we show that integration of advanced computatio...
Due to the vast improvement in IT sectors ,the popularity health care organization conserve there da...
As computerization in healthcare services increase, the amount of available digital data is growing ...
Due to the vast improvement in IT sectors ,the popularity health care organization conserve there da...
Due to the vast improvement in IT sectors ,the popularity health care organization conserve there da...
Health care information systems tend to capture data for their research in order to promote the leve...
Abstract — Data mining is defined as a computational process of pattern detection from large dataset...
A large amount of studies show that real-world study has strong external validity than the tradition...
Health care industry produces enormous quantity of data that clutches complex information relating t...
Health care industry produces enormous quantity of data that clutches complex information relating t...
This study investigated the extent of use of data mining on electronic health records to support evi...
Abstract-Data mining is the process of extracting hidden information from a large set of database an...
In this paper we provide an overview on interactive and integrative knowledge discovery and data min...
This paper discusses several data mining algorithms and techniques that we have developed at the Uni...
Artificial Intelligence Lab, Department of MIS, University of ArizonaThis paper discusses several da...