A Survey Based on Machine Learning Algorithm for Lungs Cancer Prediction

Lung cancer is frequently the primary cause of death for people [1]. The overlapping of cancerous cells makes early cancer detection more difficult. Time is a critical factor in recognizing irregularities in target pictures, and determining genetic and environmental factors is key to developing more effective preventative measures. This research describes the available lung cancer dataset using the most recent machine learning model, which aids in the early detection of lung cancer. The earlier research on this subject will also aid in our comprehension of the optimal model and the accuracy it achieves. The work presented in this paper is connected to machine learning classifier algorithms that can accurately diagnose lung cancer in its early stages and identify the optimal classifier and matching dataset.