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As the technology improving, the problems of mankind, regarding health issues also increasing day by day. Nowadays high dimensionality data are available for various health problems which is very difficult to handle manually. The aim of this paper is to construct algorithms for extracting the relevant information from the large amount of data and classifying using various hybrid techniques like Fuzzy-Rough set and Fuzzy Evolutionary Algorithms. The efficiency of Fuzzy classifiers has been improved by hybridization method. This paper proposes a comparison of fuzzy hybrid techniques like Fuzzy Rough set and Fuzzy EA for the diagnosis of Hepatitis taken from UCI repository. The results of comparison and classification shows that the proposed technique performs better than other normal methods.

The 26, December 2004 tsunami had major impact on the quality of groundwater along the south- east coast of India, but especially in the tsunami-affected areas of the Nagapatinam district of Tamilnadu. Major pollution resulted primarily from increases in the salinity of groundwater. The post- tsunami water quality posed problems to general health and contributed significantly to agricultural and environmental degradation in the Sirkazhi taluk and Nagapattinam districts. The adverse impact was particularly significant in the areas of Pazaiyar, Madavaimedu, Thirumullaivasal, Thoduvai, Koozaiyar, Puthupattinam, Kizhamoovarkarai, Poombhukar and Vanagiri. The present study assesses the source, degree, extent and nature of groundwater contamination in the Sirkazhi coastal region. Samples of groundwater were collected from 11 wells in this area and analyzed chemically to determine the extent of contamination. The results showed significant variations in water quality parameters in the study area and helped understand the longer-term adverse impacts that tsunami inundation can have upon groundwater resources.