Open AccessLung Cancer Prognosis using Machine Learning
Author(s) -
Lavi Vashishth,
Kriti Jain,
Aditya Maheshwari,
Prantar Chakrabarti
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.c1014.0393s20
Subject(s) - lung cancer , malignancy , medicine , lung , population , cancer , oncology , demography , environmental health , sociology
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