Tech-Review of lung cancer prediction

Raghumanda Kavya Sree; Sai Prasad Ravi; Raveena Babu

Tech-Review of lung cancer prediction

Authors: Raghumanda Kavya Sree, Sai Prasad Ravi, Raveena Babu

Unique Paper ID: 151084
Volume: 7
Issue: 11
PageNo: 575-583

Keywords: Data mining lung cancer prediction NaÃ¯ve Bayes Deep Learning machine Learning ANN.

Abstract:
Lung cancer is increasing at a rapid rate and due to the present pollution, it is increasing in non-smokers also. We really cannot predict anymore who will become the next victim of this deadly disease. But we can always take help from the technology. Early diagnosis of lung cancer can be very helpful in saving many lives, so the techniques to predict and detect early-stage cancer are increasing rapidly. Using generic lung cancer symptoms can help in predicting the possibility of getting lung cancer. In this study we list out few of the techniques involved in predicting lung cancer. Techniques such as Data Mining, Machine Learning, Automatic lung cancer prediction from X-ray images using Deep learning, are few of the technologies we will list out in this paper. In this paper we can see the use of classification based data mining techniques such as NaÃ¯ve Bayes, Bayesian Network and Artificial Neural Network for the prediction of lung cancer. We also state how Machine Learning classifier techniques such as, Artificial Neural Network(ANN) and Support Vector Machine(SVM), are used to determine the data sets as cancerous and non-cancerous.

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ISSN: 2349-6002
Volume: 7
Issue: 11
PageNo: 575-583

Tech-Review of lung cancer prediction

Available:https://ijirt.org/Article?manuscript=151084

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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