Developing and managing expert systems: proven techniques for business and industry
Developing and managing expert systems: proven techniques for business and industry
The potential of expert systems for competitive advantage
Managing expert systems
Managing expert systems
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Efficient Mining of Association Rules in Distributed Databases
IEEE Transactions on Knowledge and Data Engineering
Machine Learning
Database Mining: A Performance Perspective
IEEE Transactions on Knowledge and Data Engineering
Efficient Similarity Search In Sequence Databases
FODO '93 Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Data mining for path traversal patterns in a web environment
ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
Intelligent services for assisting independent living of elderly people at home
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
Agent-based intelligent collaborative care management
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Intelligent agent based hospital search & appointment system
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
A machine learning-based approach to prognostic analysis of thoracic transplantations
Artificial Intelligence in Medicine
Semantic data management for situation-aware assistance in ambient assisted living
Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
Socially interactive CDSS for u-life care
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Journal of Medical Systems
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Intelligent systems and knowledge management are shown to have wide ranging applications for businesses. In healthcare, applications of expert systems and knowledge management have been popular since the use of MYCIN in the 1970s. In this research, we study the use of intelligent systems in the prediction of re-hospitalisations. A Bayesian network, an artificial neural network using multilayer perception, an artificial neural network using radial basis function, a support vector machine and an expert system five intelligent systems were used in the prediction. All the models except the support vector machine were able to provide good prediction of re-hospitalisation with AUC > 0.6 and complete risk stratification for re-hospitalisation within 30 days of discharge with data available at admission, showing great promise for future application of intelligent systems in healthcare.