Lung Cancer Prediction Using Supervised Machine Learning

Authors

Shouvik Ghosh, University of Engineering and Management, KolkataFollow
Satavisha Sur, University of Engineering and Management, KolkataFollow
Debanjana Ghosh, University of Engineering and Management, KolkataFollow

Abstract

‘Cancer’ in today’s generation has become a prime factor of concern as because if we compare our past decade with the present, the statistical studies say the death rate has increased by 21% since 1990. So here we have brought up a model which detects lung cancer with high precise accuracy. ‘Lung Cancer’ are cells that develop in the lungs, due to certain exterior factors. As cancer cells grow rapidly, symptoms are caught at the last stage at maximum situations. So, to put this as our top priority we have presented a Lung Cancer detection model using classification techniques such as (KNN Algorithm, Decision Tree and Confusion Matrix). The ultimate objective of this paper is the early diagnosis of ‘Lung Cancer’, in order to increase the chances of survival.

Recommended Citation

Ghosh, Shouvik; Sur, Satavisha; and Ghosh, Debanjana (2024) "Lung Cancer Prediction Using Supervised Machine Learning," American Journal of Electronics & Communication (AJEC): Vol. 4: Iss. 3, Article 2.
Available at: https://research.smartsociety.org/ajec/vol4/iss3/2