An Effective Diagnostic Approach Of Lungs Cancer Using Data Mining

Abstract

Lung cancer is the major cause of death for millions of people worldwide. More than any other newlinetype of cancer, the mortality rate from lung disease is the highest. As a result, the chances of newlinesurvival from lung cancer are particularly dependent on its stage at the time of detection. Early newlinedetection is the most effective way to reduce their risk [1]. As lung cancer progresses and becomes newlinemore aggressive, staging is crucial to predicting survival and determining the most appropriate newlinepath to therapy. There are several imaging techniques available to identify lung cancer, so CT newlineimage is the most commonly used imaging method today newline