MEDIX:THE HUMAN HEALTH ANALYSER

  • Unique Paper ID: 152194
  • Volume: 8
  • Issue: 2
  • PageNo: 710-712
  • Abstract:
  • Data mining and machine learning algorithms play a key role in this area. Researchers use many data processing methods to assist the field of health care in predicting diseases. However, a proposed classification approach based on Random Forest Classification (RF) to assign each data sample to its appropriate class. ML algorithms can also be used to find correlations and associations between different diseases. Our system uses KNN for diabetes and RF for heart & breast cancer detection.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{152194,
        author = {Priyanshi Sharma and sheetal aggarwal and Tushank garg and Amit Saini and Dr. Mukesh Rawat},
        title = {MEDIX:THE HUMAN HEALTH ANALYSER},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {2},
        pages = {710-712},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=152194},
        abstract = {Data mining and machine learning algorithms play a key role in this area. Researchers use many data processing methods to assist the field of health care in predicting diseases. However, a proposed classification approach based on Random Forest Classification (RF) to assign each data sample to its appropriate class. ML algorithms can also be used to find correlations and associations between different diseases. Our system uses KNN for diabetes and RF for heart & breast cancer detection.},
        keywords = {Classification, Heart disease, diabetes and breast cancer machine learning , KNN algorithm ,random forest algorithm.},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 8
  • Issue: 2
  • PageNo: 710-712

MEDIX:THE HUMAN HEALTH ANALYSER

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