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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM15182

The Real Time Lung Cancer Stages Prediction using KNN and Decision Tree

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-

Subject:

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Paper ID:

IJSREM15182

Volume:

6 |

6 |

Jun 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

LLO

Leela L O

MMHT

Mr Manjunatha H T

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Abstract

To identify or forecast the stage of lung cancer, researchers are utilizing machine learning to predict lung cancer. Due to their inability to understand the ailments they are afflicted with, many people in our day to day life suffer from a variety of illnesses. The most widespread diseases in the world is lung cancer. This is one of the second most common cancers to be diagnosed. In an effort to solve this issue, this work was created. In order to save lives, early cancer detection is crucial. Building a tool for lung cancer screening using Python machine learning is the project’s major goal. A patient’s chances of healing and recovering are improved with early detection. Effective cancer detection in the body is greatly aided by technology. This work is used to predict the stages of Lung Cancer. Doctor can send the report of the Patient.

KEYWORDS

Lung Cancer python Machine Learning KNN Algorithm Decision Tree algorithm.

Cite This Article

Leela L O, Mr Manjunatha H T, "The Real Time Lung Cancer Stages Prediction using KNN and Decision Tree," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 6, Jun 2022.

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Publication Date

6/29/2022

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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