A Heuristic SOM Based Hybrid Approach for Liver Patient Disease Data Classification

Data mining is a stream where a large data analysis using processing algorithm can be performed. Data mining help in understanding the processing outcome and thus a utilization of data can be done. Health care is the segment which is sensitive area and a large number of information produce by the health care data reports. Liver Health care analysis helps us to understand the behaviour and diagnose the disease according to requirement. Different data classification approach for classifying the liver health care dataset is proposed by existing authors. Algorithm such as Naïve Bayes, Genetic rule based algorithm, Support vector machine approach and other classification approach is performed by existing researchers. The existing solution still lacking in finding a proper computation efficiency over the health care dataset. In this paper a enhance Heuristic SOM based optimization approach is proposed for health care data analysis. The proposed technique makes use of heuristic optimization and Map use from the SOM ANN algorithm. The proposed technique is experiments using the Weka tool and ILPD (Indian liver patient dataset) taken from UCI is executed. Observed result shows the efficiency of proposed technique over existing solutions.