LUNG CANCER PREDICTION SYSTEM USING DEEP LEARNING

Abstract

Lung cancer has become the most common and dangerous disease in the world. 
Cigarette smoking is the primary cause of this lung cancer. Lung cancer is a kind of cancer that 
begins in the lungs' tissues. It develops when cells in the lung begin to proliferate fast and 
uncontrollably. Lung cancer may develop in any area of the lungs and impact any aspect of the 
respiratory system. As a result, lung cancer must be recognized at an early stage, which may 
be predicted using different machine learning methods. In this study, the KNN algorithm is 
employed to predict lung cancer, and an accuracy score, as well as a confusion matrix, are 
created to determine the accurate and wrong predicted characteristics. In this article, lung 
cancer prediction is accomplished by importing the dataset and running machine learning 
algorithms on it to determine if the users are cancer-affected. 

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