Implementation of Liver Disease Prediction Using Machine Learning

Authors

  • Boggarapu Sai Surya  School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, India
  • Nitesh Kumar Singh  School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, India
  • S Sasi Rekha  School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, India

DOI:

https://doi.org/10.32628/CSEIT2172111

Keywords:

Chronic diseases, Classification schemes, Training datasets, Machine learning, Classifiers, Algorithms, Classification models

Abstract

This work Liver Disease Prediction Using Machine Learning is a machine learning application. In this project, you predict whether the patient contain a liver disease or not using python Jupyter Notebook. To predict presence of liver disease we apply some of the classification techniques. It gives an idea of how machine learning helps in medical field and how classification techniques going to predict liver disease using liver disease data set.

References

  1. Sebastian, Anu, and Surekha Mariam Varghese."Fuzzy logic for child-pugh classification of patients with cirrhosis of the liver." 2016 International Conference on Information Science (ICIS). IEEE, 2016
  2. Arshad, Insha, et al. "Liver disease detection due to excessive alcoholism using data mining techniques." 2018 International Conference on Advances in Computing and Communication Engineering (ICACCE). IEEE, 2018. [3]Ramkumar, N., et al. "Prediction of live cancer using
  3. Conditional probability Bayes theorem." 2017 International Conference on Computer Communication and Informatics (ICCCI). IEEE, 2017.
  4. Hassoon, Mafazalyaqeen, et al. "Rule optimization of boosted c5. 0 classification using a genetic algorithm for liver disease prediction." 2017 International Conference on Computer and Applications (ICCA). IEEE, 2017.
  5. Karthik. S, Priyadarshini. A. Anuradha J. and Tripathi B. K, Classification and Rule Extraction using Rough Set for Diagnosis of Liver Disease and its Types, Ad.
  6. Sullivan, Tim. "Blitz scaling" Harvard business review 94.4 (2016): 15. [7]https://www.academia.edu/39051667/Liver_dise ase_prediction_using_machine_learning
  7. [8]Jae-Young Lim, “The Prospect of the Fourth Industrial Revolution and Home Healthcare in SuperAgedSociety”,https://www.researchgate.net/pr ofile/Jae-Young_Lim2 [9]https://www.javatpoint.com/machine-learning
  8. Hands on machine learning with scikit learn and tensor flow Introduction to machine learning with python

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

Downloads

Published

2021-04-30

Issue

Volume 7, Issue 2, March-April-2021

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]
Boggarapu Sai Surya, Nitesh Kumar Singh, S Sasi Rekha, " Implementation of Liver Disease Prediction Using Machine Learning" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 2, pp.606-616, March-April-2021. Available at doi : https://doi.org/10.32628/CSEIT2172111