C4.5: programs for machine learning
C4.5: programs for machine learning
Data preparation for data mining
Data preparation for data mining
Medical Data Mining on the Internet: Research on a Cancer Information System
Artificial Intelligence Review - Special issue on data mining on the Internet
Introduction to Expert Systems
Introduction to Expert Systems
Machine Learning and Data Mining; Methods and Applications
Machine Learning and Data Mining; Methods and Applications
MPI collective algorithm selection and quadtree encoding
Parallel Computing
ICCIT '07 Proceedings of the 2007 International Conference on Convergence Information Technology
An Integrated Data Mining System for Patient Monitoring with Applications on Asthma Care
CBMS '08 Proceedings of the 2008 21st IEEE International Symposium on Computer-Based Medical Systems
Artificial intelligence techniques for monitoring dangerous infections
IEEE Transactions on Information Technology in Biomedicine
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The surveillance system established in ICDDR,B collect information of diarrhoeal disease. Our research focuses on generating decision tree models to categorise diarrhoeal patients according to the severance of disease. From the decision tree generated based on earlier cases stored in the surveillance data, decision rules are generated. These rules are used to classify patients into three classes according to their criticality: high, mid, low. This would help the hospital authority to take prudent actions on critical patients. Different techniques are used to build an optimal decision tree by considering various set of data, and generated trees are compared with various performance metrics, e.g., accuracy, precision, recall, area under ROC curve, etc.