Comparative Analysis of Liver Disease Detection using Diverse Machine Learning Techniques
Author:
Affiliation:
1. Karunya Institute of Technology and Sciences,Department of Computer Science and Engineering,Coimbatore,Tamilnadu,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9788085/9787985/09788208.pdf?arnumber=9788208
Reference15 articles.
1. Prediction of liver fibrosis stages by machine learning model: A decision tree approach
2. An Efficient Prediction Model for Liver Disorder Database using Data Mining Techniques;thangarajan,2018
3. A Systematic Machine Learning Based Approach for the Diagnosis of Non-Alcoholic Fatty Liver Disease Risk and Progression
4. Implementation of Classification Rule Mining to minimize Liver Disorder risks;mishra;International Journal of Control Theory and Applications(IJCTA)(Scopus Indexed),2017
5. A novel approach for Liver disease Classification using Data Mining strategies;aneeshkumar;Data Science and Engineering,2017
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1. Accuracy Prediction using Machine Learning Techniques for Indian Patient Liver Disease;2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES);2023-04-28
2. Survey on Liver Disease Prediction and Recommendation;2023 IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT);2023-04-08
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