Add to ORKGIn the paper a method for designing production rules with uncertainty from medical aggregate data is proposed. Our main goal is to define the parameters that have an influence on the reliability of obtained rules. We distinguish two factors of reliability: global and internal ones. They determine a rule's importance in comparison to other obtained rules. Those rules compose the knowledge base of a medical Rule-Based System (RBS) aiding medical diagnosis and treatment
This paper provides a methodology to determine the reliability of a system, when only limited inform...
Medication errors are common, life threatening, costly but preventable. Information technology and a...
Medical Decision Support Systems (MDSS) industry collects a huge amount of data, which is not proper...
In the paper some examples of reasoning with 2-uncertain rules are presented. First of all, they wil...
The main aim of the article is to present the modifications of inference algorithms based on informa...
In the paper an algorithm for automatic knowledge acquisition is proposed. The knowledge is acquired...
International audienceBackground: The widespread use of electronic health records (EHRs) has generat...
The ultimate purpose of many medical data mining systems is to create formalized knowledge for a com...
This work considers the results of laboratory investigations carried out to create a system for pred...
The work on diverse forms of data-mining techniques is used for the prediction of severe problems of...
In empirical sciences, among others - in medicine, domain data - stored in different repositories - ...
Many large organizations have multiple data sources, while putting all data together from different ...
Discusses eliminating contradictions among rules in computer-aided systems, experts rules, and datab...
This research practically demonstrates how to use data mining technology to supply knowledge to the ...
In the age of Evidence-Based Medicine, Clinical Guidelines (CGs) are recognized to be an indispensab...
This paper provides a methodology to determine the reliability of a system, when only limited inform...
Medication errors are common, life threatening, costly but preventable. Information technology and a...
Medical Decision Support Systems (MDSS) industry collects a huge amount of data, which is not proper...
In the paper some examples of reasoning with 2-uncertain rules are presented. First of all, they wil...
The main aim of the article is to present the modifications of inference algorithms based on informa...
In the paper an algorithm for automatic knowledge acquisition is proposed. The knowledge is acquired...
International audienceBackground: The widespread use of electronic health records (EHRs) has generat...
The ultimate purpose of many medical data mining systems is to create formalized knowledge for a com...
This work considers the results of laboratory investigations carried out to create a system for pred...
The work on diverse forms of data-mining techniques is used for the prediction of severe problems of...
In empirical sciences, among others - in medicine, domain data - stored in different repositories - ...
Many large organizations have multiple data sources, while putting all data together from different ...
Discusses eliminating contradictions among rules in computer-aided systems, experts rules, and datab...
This research practically demonstrates how to use data mining technology to supply knowledge to the ...
In the age of Evidence-Based Medicine, Clinical Guidelines (CGs) are recognized to be an indispensab...
This paper provides a methodology to determine the reliability of a system, when only limited inform...
Medication errors are common, life threatening, costly but preventable. Information technology and a...
Medical Decision Support Systems (MDSS) industry collects a huge amount of data, which is not proper...