Lungs Cancer Prediction Model Using Machine Learning Techniques

Abstract

Abstract:-The obvious reason for malignant growth-related mortality all through the globe is "Cellular breakdown in the lungs". As a result, early detection of cellular breakdown in the lungs including location, anticipation, and finding has become crucial as the clinical board that follows accelerates and gets better. This study presents a model for the cellular breakdown in the lungs expectation by using Machine Learning (ML) methods. To raise the advancement and drug of carcinogenic circumstances, ML methods have been used because of their precise results. Different kinds of AI calculations (ML) like Naive Bayes, Support Vector Machine (SVM), Logistic relapse, and Artificial Neural Networks (ANN), have been applied in the medical services area for examination and anticipation of cellular breakdown in the lungs. In this research, the proposed model achieves more than 95% accuracy by using ML techniques and in the future, this model will also apply to predict other diseases with better performance.

 Keywords: - Lung Cancer, Prediction Model, Machine Learning Techniques