Non Small Cell Lung Cancer Diagnosis Using kNN and Logistic Regression

One in nine people develop cancer during their life time in India. Chances are that we already know someone who has been affected by cancer. But what is cancer? Simply put, they are made of trillions of cells that grow and divide over one’s lifetime as needed. Abnormal or old cells die after a certain period of time but some cells do not die and overcrowd the space and stop the body from functioning normally. The most recent screening technology makes early identification of lung cancer simple and may extend the patient's life. The use of automated technologies can also improve the accuracy of illness detection, aiding medical professionals in making accurate diagnoses. The automated lung cancer diagnosis method described in this article uses a machine learning algorithm to distinguish between benign, malignant, and normal lung cancer. The proposed lung cancer detection technique has a 98.7% accuracy rate, which is higher than the approaches that were examined.