Survey on machine learning algorithms for liver disease diagnosis and prediction

  • Authors

    • M Kiran Kumar
    • M Sreedevi
    • Y C. A. Padmanabha Reddy
    2018-02-09
    https://doi.org/10.14419/ijet.v7i1.8.9981
  • Liver Disease, Medical Data Mining, Supervised Learning, Machine Learning Techniques.

  • Abstract

    Machine learning plays a vital role in health care industry. It is very important in Computer Aided Diagnosis. Computer Aided Diagnosis is a quickly developing dynamic region of research in medicinal industry. The current specialists in machine learning guarantee the enhanced precision of discernment and analysis of diseases. The computers are empowered to think by creating knowledge by learning. This procedure enables the computers to self-learn individually without being explicitly programed by the programmer .There are numerous sorts of Machine Learning Techniques and which are utilized to classify the data sets. They are Supervised, Unsupervised and Semi-Supervised, Reinforcement, deep learning algorithms. The principle point of this paper is to give comparative analysis of supervised learning algorithms in medicinal area and few of the techniques utilized as a part of liver disease prediction.

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  • How to Cite

    Kiran Kumar, M., Sreedevi, M., & C. A. Padmanabha Reddy, Y. (2018). Survey on machine learning algorithms for liver disease diagnosis and prediction. International Journal of Engineering & Technology, 7(1.8), 99-102. https://doi.org/10.14419/ijet.v7i1.8.9981

    Received date: 2018-03-08

    Accepted date: 2018-03-08

    Published date: 2018-02-09