From data mining to knowledge discovery: an overview
Advances in knowledge discovery and 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
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Predicting breast cancer survivability: a comparison of three data mining methods
Artificial Intelligence in Medicine
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In this paper, we compare the two popular Data Mining techniques to evaluate their performance in predicting the malignancy in the patients who visits the ENT OPD. This study examined 569 patients who had visited a tertiary care centre during Jan 2004 and Dec 2009. We have employed two data mining algorithm- Multilayer Perceptron Neural Network Model and Tree Boost Model. For Training data as well as validation data, Multilayer Perceptron Neural Network and Tree Boost indicates the same specificity and sensitivity. Misclassification of data is not seen in both training and validation data in Multilayer Perceptron Neural Network as well as tree boost model. Also the most important variable for the prediction of malignancy is "Presence of Lymph Node" as seen on USG. As per the study, Tree Boost Classification Model and Multilayer Perceptron Neural Network model both are optimal for predicting malignancy in patient.