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Detection and Prediction of Lung Cancer Using Different Algorithms
N. Sudhir Reddy1, V Khanaa2
1N. Sudhir Reddy, Research Scholar, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research BIHER, Chennai (Tamil Nadu), India.
2Dr. V Khanaa, Professor, Dean Information, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research BIHER, Chennai (Tamil Nadu), India.
Manuscript received on 01 November 2019 | Revised Manuscript received on 13 November 2019 | Manuscript Published on 22 November 2019 | PP: 2088-2093 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F13970986S319/19©BEIESP | DOI: 10.35940/ijeat.F1397.0986S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: One of the major causes of cancer death is through Lung cancer. The over lapping of cancer cells acts as an impediment for its early detection. Identifying genetic and environmental factors plays a vital role in developing better techniques for its prevention. And in order to discover the anomalies in target images, time factor is paramount. In this work, decision tree algorithm is used for prediction of lung cancer where in the important pattern with their corresponding weightage and score is studied. Processes such as preprocessing of images and feature extraction are done using Histogram Equalization and using neural network classifier does normal or abnormality check of the patient. If lung cancer is detected early, then it will reduce many treatment options, reduce risk of invasive surgery and increase survival rate. Therefore, an easy, cost effective and time saving method will produce promising result for detection and prediction of lung cancer.
Keywords: Data Mining, Decision Tree Algorithm, Early Detection, Histogram Equalization, Image Processing, Lung Cancer, Prediction.
Scope of the Article: Regression and Prediction