Call For Paper Volume:7 Issue:1 Jan'2020 |

Prediction of Lung cancer using machine learning algorithms

Publication Date : 13/06/2019


DOI : 10.21884/IJMTER.2019.6019.F17BV

Author(s) :

Mr. Amaresh A M , Noorein M A , Sandhya N , Sheetal K S.


Volume/Issue :
Volume 6
,
Issue 6
(06 - 2019)



Abstract :

Cancer is the most important cause of death for both men and women. The early location of malignant growth can be useful in curing the sickness totally. A disease that is usually incorrectly diagnosed is lung cancer. Prior analysis of Lung Cancer spares huge lives, coming up short which may prompt other extreme issues causing abrupt deadly end. Its cure rate and prediction depends chiefly on the early identification and finding of the ailment. A standout amongst the most widely recognized types of restorative acts of neglect all around is a blunder in determination. Significant information can be found from utilization of AI procedures in medicinal services framework. In this paper, we quickly look at the potential utilization of characterization based AI methods, for example, Random Forest, Naïve Bayes and k￾Nearest Neighbor to a huge volume of healthcare dataset. Information mining strategies, for example, feature extraction and feature selection have been utilized to remove data and distinguish designs and foresee patterns from huge informational collections. Utilizing conventional lung malignancy side effects, for example, age, sex, Wheezing, Shortness of breath, Pain in shoulder, chest, arm, we can anticipate the probability of patients getting a lung malignant growth malady. Point of the paper is to propose a model for early recognition and right analysis of the ailment which will help the specialist in sparing the life of the patient.


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Prediction of Lung cancer using machine learning algorithms

June 6, 2019