Classificationof Stages of Lung Cancer using Genetic Candidate Group Search Approach
作者： Manasee Kurkure , Anuradha Thakare
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摘要: Cancer is one of the most commonly affected diseases in progressing countries. Early diagnosis cancer plays a significant role curing patients. Thousands people every year die due to lung cancer, so there need for accurate prediction this disease. In paper, Genetic Candidate Group search algorithm approach proposed. This optimization allows assistant doctors identify nodules present lungs at early stages. As manual interpretations are time consuming and very critical, overcome difficulty hybrid method combined with Naive Bayes Classification different stages images fast accurate. The number tested results obtained. accuracy 82 percentage achieved classification.
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