Intelligent Classification of Lung & Oral Cancer through Diverse Data Mining Algorithms

Nowadays, the environment of healthcare is quiet richin information, but knowledge wise the data is very poor. There isan availability of ample amount of data within the systems ofhealthcare. Nevertheless, there is a absence of genuine tools ofinvestigation in order to determine hidden associations in data. The main motive of this investigation is towards the speciallydesigned GUI based Interface in order to input the patient'srecord. Thus anticipate whether or not the patient is sufferingfrom the lung and oral cancer by the use of the rule basedclassifier. The forecast is done from the process of mining therecent informative data of the patient and data repository or thereference value for every attributes. The reference values aretaken from specialist doctors, and internet repository. In thisresearch a comparison of Multilayer perceptron and simplelogistic algorithm have been carried out so as to analyse anddetect the lung and oral cancer in an intelligent way.

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