Lung Cancer Prognosis using Machine Learning
Lavi Vashishth1, Kanishka Jain2, Aditya Maheshwari3, Prasun Chakrabarti4
1Lavi Vashishth, Department of Computer Science and Engineering, Techno India NJR Institute of Technology Udaipur (Rajasthan), India.
2Kanishka Jain, Department of Computer Science and Engineering, Techno India NJR Institute of Technology Udaipur (Rajasthan), India.
3Aditya Maheshwari, Capacity of Project Lead- New Initiative & Research, Techno India NJR Institute of Technology Udaipur (Rajasthan), India.
4Prof Dr. Prasun Chakrabarti, Senior Chair Professor, Executive Dean Research and International Linkage and Institute Distinguished Techno India NJR Institute of Technology, (Rajasthan), India.
Manuscript received on 15 March 2020 | Revised Manuscript received on 22 March 2020 | Manuscript Published on 30 March 2020 | PP: 47-49 | Volume-9 Issue-3S March 2020 | Retrieval Number: C10140393S20/20©BEIESP | DOI: 10.35940/ijeat.C1014.0393S20
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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: The paper calls attention to investigation of Lung Cancer in the light of regulated AI classifiers. The parameters incorporate age, smokes, passive smoking, alcohol and gender. Curve fitting has likewise been applied in request to break down the Lung Cancer. These days, around 33% of grown-ups are known to be smokers, and smoking rates are expanding among the female population. Tobacco use has been accounted for to be the fundamental driver of 90% of male and 79% of female lung malignancies. 90% of passing from lung malignancy are evaluated to be because of smoking.
Keywords: Malignancy, Age, Smoke, Tobacco, Alcohol.
Scope of the Article: Machine Learning