Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
An evaluation of explanations of probabilistic inference
Computers and Biomedical Research - Papers presented at the 16th symposium on computer applications in medical care (SCAMC)
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Communications of the ACM
The EM algorithm for graphical association models with missing data
Computational Statistics & Data Analysis - Special issue dedicated to Toma´sˇ Havra´nek
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Bayesian networks for knowledge discovery
Advances in knowledge discovery and data mining
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Probabilistic Networks and Expert Systems
Probabilistic Networks and Expert Systems
Medical Data Mining and Knowledge Discovery
Medical Data Mining and Knowledge Discovery
Bayesian Networks for Data Mining
Data Mining and Knowledge Discovery
Unconstrained influence diagrams
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Learning Bayesian networks from incomplete databases
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Journal of Biomedical Informatics - Special issue: Building nursing knowledge through infomatics: from concept representation to data mining
Expert Systems with Applications: An International Journal
Identifying product failure rate based on a conditional Bayesian network classifier
Expert Systems with Applications: An International Journal
Intelligent fault inference for rotating flexible rotors using Bayesian belief network
Expert Systems with Applications: An International Journal
Evolutionary attribute ordering in Bayesian networks for predicting the metabolic syndrome
Expert Systems with Applications: An International Journal
ICIC'06 Proceedings of the 2006 international conference on Computational Intelligence and Bioinformatics - Volume Part III
Foreseeing promising bio-medical findings for effective applications of data mining
ISBMDA'05 Proceedings of the 6th International conference on Biological and Medical Data Analysis
Formal-Transfer In and Out of Stroke Care Units: An Analysis Using Bayesian Networks
International Journal of Healthcare Information Systems and Informatics
Bayesian network analysis for the dynamic prediction of early stage entrepreneurial activity index
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Decision support system for Warfarin therapy management using Bayesian networks
Decision Support Systems
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The growth of nursing databases necessitates new approaches to data analyses. These databases, which are known to be massive and multidimensional, easily exceed the capabilities of both human cognition and traditional analytical approaches. One innovative approach, knowledge discovery in large databases (KDD), allows investigators to analyze very large data sets more comprehensively in an automatic or a semi-automatic manner. Among KDD techniques, Bayesian networks, a state-of-the art representation of probabilistic knowledge by a graphical diagram, has emerged in recent years as essential for pattern recognition and classification in the healthcare field. Unlike some data mining techniques, Bayesian networks allow investigators to combine domain knowledge with statistical data, enabling nurse researchers to incorporate clinical and theoretical knowledge into the process of knowledge discovery in large datasets. This tailored discussion presents the basic concepts of Bayesian networks and their use as knowledge discovery tools for nurse researchers.