The Application of Case-Based Reasoning to Early Web Project Cost Estimation
COMPSAC '02 Proceedings of the 26th International Computer Software and Applications Conference on Prolonging Software Life: Development and Redevelopment
A Comparison of Development Effort Estimation Techniques for Web Hypermedia Applications
METRICS '02 Proceedings of the 8th International Symposium on Software Metrics
Soft Aggregation Methods in Case Based Reasoning
Applied Intelligence
A Software Implementation of a Genetic Algorithm Based Approach to Network Intrusion Detection
SNPD-SAWN '05 Proceedings of the Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Networks
Multi-Objective Genetic Algorithms for Vehicle Routing Problem with Time Windows
Applied Intelligence
Optimal Project Feature Weights in Analogy-Based Cost Estimation: Improvement and Limitations
IEEE Transactions on Software Engineering
The adjusted analogy-based software effort estimation based on similarity distances
Journal of Systems and Software
GUEST EDITORIAL: Case-based reasoning in the health sciences
Artificial Intelligence in Medicine
Genetic algorithm based software integration with minimum software risk
Information and Software Technology
Mining Three-Dimensional Anthropometric Body Surface Scanning Data for Hypertension Detection
IEEE Transactions on Information Technology in Biomedicine
Optimal zoning design by genetic algorithms
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A review of studies on expert estimation of software development effort
Journal of Systems and Software
Integrating spatial relations into case-based reasoning to solve geographic problems
Knowledge-Based Systems
Engineering Applications of Artificial Intelligence
Review: Knowledge discovery in medicine: Current issue and future trend
Expert Systems with Applications: An International Journal
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The exploration of three-dimensional (3D) anthropometry scanning data along with other existing subject medical profiles using data mining techniques becomes an important research issue for medical decision support. This research attempts to construct a classification approach based on the hybrid use of case-based reasoning (CBR) and genetic algorithms (GAs) for hypertension detection using anthropometric body surface scanning data. The obtained result reveals the relationship between a subject's 3D scanning data and hypertension disease. The GA is adopted to determine the appropriate feature weights for CBR. The proposed approaches were experimented and compared with a regular CBR and other widely used approaches including neural nets and decision trees. The experiment showed that applying GA to determine the suitable weights in CBR is a feasible approach to improving the effectiveness of case matching of hypertension disease. It also demonstrated that different weighted CBR approach presents better classification accuracy over the results obtained from other approaches.