This paper describes an experimental parallel/distributed data mining system PADMA (PArallel Data Mining Agents) that uses software agents for local data accessing and analysis and a web based interface for interactive data visualization. It also presents the results of applying PADMA for detecting patterns in unstructured texts of postmortem reports and laboratory test data for Hepatitis C patients
This paper presents an efficient real-time knowledge base architecture for multi-agent based patient...
The collection of medical data for research purposes is a challenging and long-lasting process. In a...
Abstract Recent years have shown the need of an automated process to discover interesting and hidden...
This is the final report of a one-year, Laboratory Directed Research and Development (LDRD) project ...
This paper introduces PADMA (PArallel Data Mining Agents), a parallel agent based system for scalabl...
Scalability determines the potential in distributing h&h rlata anrl rnmnrlt,af.inn in cln.+n. mi...
As computerization in healthcare services increase, the amount of available digital data is growing ...
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...
In this presentation we survey data mining research in the KULeuven DTAI group and its application i...
This paper introduces HealthAgents, an EC-funded research project to improve the classification of b...
From lessons learned in medical data mining projects we show that integration of advanced computatio...
Mining biological data is an emergent area at the intersection between bioinformatics and data minin...
The collection of medical data for research purposes is a challenging and long-lasting process. In a...
Due to the vast improvement in IT sectors ,the popularity health care organization conserve there da...
This paper presents an efficient real-time knowledge base architecture for multi-agent based patient...
The collection of medical data for research purposes is a challenging and long-lasting process. In a...
Abstract Recent years have shown the need of an automated process to discover interesting and hidden...
This is the final report of a one-year, Laboratory Directed Research and Development (LDRD) project ...
This paper introduces PADMA (PArallel Data Mining Agents), a parallel agent based system for scalabl...
Scalability determines the potential in distributing h&h rlata anrl rnmnrlt,af.inn in cln.+n. mi...
As computerization in healthcare services increase, the amount of available digital data is growing ...
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...
In this presentation we survey data mining research in the KULeuven DTAI group and its application i...
This paper introduces HealthAgents, an EC-funded research project to improve the classification of b...
From lessons learned in medical data mining projects we show that integration of advanced computatio...
Mining biological data is an emergent area at the intersection between bioinformatics and data minin...
The collection of medical data for research purposes is a challenging and long-lasting process. In a...
Due to the vast improvement in IT sectors ,the popularity health care organization conserve there da...
This paper presents an efficient real-time knowledge base architecture for multi-agent based patient...
The collection of medical data for research purposes is a challenging and long-lasting process. In a...
Abstract Recent years have shown the need of an automated process to discover interesting and hidden...
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