Hetero Associative Memory Based Neural Network Classifier for Health Care Data Diagnosis
International Journal of Innovative Science and Modern Engineering (IJISME), 3 (6):
86-89 (May 2015)Abstract
Classification is one of the predictive data mining tasks used to discover a model from the past data to predict some response of interest. In this work, Hetero Associative Memory based Neural Network (HAMNN) classifier is employed for health care data diagnosis. Classifier performance is enhanced by using Lern matrix, a popular model for associative memory. HAMNN classifier is built efficiently to improve the classification accuracy. This classifier provides promising results when experiments were conducted using six health care datasets from UCI machine learning repository.