Machine Learning Approach for Classification of Cancer Stages

Authors

  • Shubham Hingmire  School of Electronics and Communication Engineering, MIT World Peace University Kothrud, Pune, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT1953173

Keywords:

CSV Data File Codes; Machine Learning Cancer Disease; Info Gain, Malignant, Benign

Abstract

The simplest form of health care is diagnosis and prevention. of disease. Machine learning (ML) methods help achieve this goal. This project aims to compare method of computer aided medical diagnoses. The ?rst of these methods is a classify disease diagnosis according to their data. This involves the training of an Arti?cial Neural Network to respond to several patient parameters. And also comparing various classification methods the purpose research classifier classi?es the patients in two class ?rst is malignant and second is benign.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-07-30

Issue

Volume 5, Issue 4, July-August-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Shubham Hingmire, " Machine Learning Approach for Classification of Cancer Stages, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 4, pp.01-04, July-August-2019. Available at doi : https://doi.org/10.32628/CSEIT1953173