Lung Cancer Prediction using SVC and SVM Models

  • Nazma Sultana Shaik, Ummadi Janardhan Reddy, S Nyamathulla, M Kiran Kumar

Abstract

Artificial Intelligence domain is the popular in the computer science & it’s machine learning application is the core of AI, by these machines will get ability to get learnt in automated manner. This training process will be done through the observation. Computer gives its observation through the data analysis. The Datasets are gathered from different resources like lab tests, patient records from various hospitals & different health survey etc. By this dataset, the evaluation of data point to estimate the results. In the healthcare domain, Machine Learning will be used to predict disease & its risk factors. There are distinct number of algorithms which are used in the ML techniques to make prediction. In this paper, the main crucial approach is to predict the lung cancer using different classification algorithms and comparing those methods

Published
2020-06-01
How to Cite
Nazma Sultana Shaik, Ummadi Janardhan Reddy, S Nyamathulla, M Kiran Kumar. (2020). Lung Cancer Prediction using SVC and SVM Models. International Journal of Advanced Science and Technology, 29(7s), 4822 - 4828. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/25750