Analysis of CT Scan Lung Cancer Images using Machine Learning Algorithms

Inflammation of the lungs is caused by the growth of cancer cells. Men and women are more likely to die from cancer as the disease progresses. Cancer cells in the lungs develop outside of management in the context of lung cancer. While there is no proven way to prevent lung cancer, the recent technologies can be used to reduce its risk. Lung cancer can be fast detected and also quickly increase a patient's chances of survival. Patients with lung cancer equally have a higher chance of not smoking the paper, studying machine learning algorithms, and comparing the precision classification method based on this method. Classification techniques such as Naive Bayes, SVM, Decision Tree, and Logistic Regression were used to investigate lung cancer prediction. The primary goal of this research is to investigate the performance of classification algorithms in the early detection of lung cancer. In the United States, smoking causes about 80 percent of all deaths from lung cancer. Throughout this research, the lung cancer has been detected efficiently. Support equipment achieves an accuracy of 98.61% and an AUC school of 94%.