Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{195214,
author = {Dinesh S and Dinesh K and Dinesh T.V and Goutham G.S and Gowtham P},
title = {AI-Based Lung Cancer Prediction Using Machine Learning},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {10},
pages = {6662-6665},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=195214},
abstract = {Lung cancer is one of the leading causes of death worldwide. Early detection can significantly improve survival rates. This project proposes an AI-based lung cancer prediction system using machine learning algorithms. The system analyzes medical data to predict whether a patient is likely to have lung cancer. Various algorithms such as Random Forest and Support Vector Machine are used. The model is trained and tested on a dataset to achieve high accuracy. The system also provides a user-friendly dashboard for predictions. The results demonstrate that machine learning can effectively assist in early detection of lung cancer.},
keywords = {Artificial Intelligence, Machine Learning, Lung Cancer, Prediction, Healthcare},
month = {March},
}
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