Proposing ML Approach for Detection of Lung Cancer

In this paper, we will observe the usage of machine learning algorithms for the detection of lung cancer. In a country like India and especially in a city like Bilaspur or State like Chhattisgarh, the condition to take care of disease like lung cancer is very poor. The people who get this disease have to go to big cities for their treatment and in state like Chhattisgarh people are also not very rich. If the disease is detected at a concluding stage, the chance of saving the person is very less. We in the current work taking a sample experimental dataset from a standard repository the description of the fields and other factors of which are described in the paper have made an implementation in Python for detection of the disease. We, in the paper, made consideration of various algorithms on the dataset and got different values for the different assessment parameters. Based on the comparative analysis and looking to the utility that ML algorithm that turns out to be the best, we propose the usage of ML for detection of lung cancer. The literature survey part comprises of various work done in the field and data regarding the research in the field. In the paper, we are trying to propose ML approach and the current computing technology available to handle the problem of lung cancer. Generally, we are more concerned for the people of our state where medication facility is still not that good and early detection could help in saving life. In the current work, we made a utilization of Python which is a great data analysis language. Currently, people around the universe are working in this tool to have their work done in the desired way. In the current paper, we will look into the implementation of several machine learning algorithms. The algorithms that we observe in the implementation have proven their feats in the past and that’s why had been considered in the current paper. We will also have a look on the lung cancer paradigm which is the subject of implementation in the current paper. The paper is nicely drafted and is having introduction, problem statement, literature review, implementation, and result and conclusion as the main sections of consideration. The paper covers a wide spectrum of papers in which it made a good detailed survey of the various computer generated work for the solution of problems of various types. The paper is altogether a very nice work that could be handy for the research that is going to be put up in the time to come. We will observe a good detailed work on lung cancer and to continue in the journey will see a lot on Python and the various machine learning algorithms.