IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian networks for knowledge discovery in large datasets: basics for nurse researchers
Journal of Biomedical Informatics - Special issue: Building nursing knowledge through infomatics: from concept representation to data mining
Information Sciences: an International Journal - Special issue: Soft computing data mining
Computer aided fuzzy medical diagnosis
Information Sciences: an International Journal - Special issue: Medical expert systems
Predicting carcinoid heart disease with the noisy-threshold classifier
Artificial Intelligence in Medicine
Towards efficient variables ordering for Bayesian networks classifier
Data & Knowledge Engineering
HIS '07 Proceedings of the 7th International Conference on Hybrid Intelligent Systems
A Bayesian derived network of breast pathology co-occurrence
Journal of Biomedical Informatics
Human activity recognition in pervasive health-care: Supporting efficient remote collaboration
Journal of Network and Computer Applications
A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients
Expert Systems with Applications: An International Journal
Journal of Biomedical Informatics
A spatio-temporal Bayesian network classifier for understanding visual field deterioration
Artificial Intelligence in Medicine
ICIC'06 Proceedings of the 2006 international conference on Computational Intelligence and Bioinformatics - Volume Part III
Learning Bayesian network structures by searching for the best ordering with genetic algorithms
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Artificial Intelligence in Medicine
Understanding tuberculosis epidemiology using structured statistical models
Artificial Intelligence in Medicine
Using literature and data to learn Bayesian networks as clinical models of ovarian tumors
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
Not so greedy: Randomly Selected Naive Bayes
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
The metabolic syndrome is a set of risk factors that include abdominal obesity, insulin resistance, dyslipidemia and hypertension. It has affected around 25% of adults in the US and become a serious problem in Asian countries recently due to the change in dietary habit and life style. On the other hand, Bayesian networks that are the models to solve the problems of uncertainty provide a robust and transparent formalism for probabilistic modeling, so they have been used as a method for diagnostic or prognostic model in medical domain. Since the K2 algorithm, a well-known algorithm for Bayesian networks structure learning, is influenced by an input order of the attributes, an optimization of BN attribute ordering has been studied as a research issue. This paper proposes a novel ordering optimization method using a genetic algorithm based on medical expert knowledge in order to solve this problem. For experiments, we use the dataset examined twice in 1993 and 1995 in Yonchon County of Korea. It has 18 attributes of 1193 subjects participated in both surveys. Using this dataset, we make the prognostic model of the metabolic syndrome using Bayesian networks with an optimized ordering by evolutionary approach. Through an ordering optimization, the prognostic model of higher performance is constructed, and the optimized Bayesian network model by the proposed method outperforms the conventional BN model as well as neural networks and k-nearest neighbors. Finally, we present the application program using the prognostic model of the metabolic syndrome in order to show the usefulness of the proposed method.