Performance Analysis of State-of-the-Art Classifiers and Stack Ensemble Model for Liver Disease Diagnosis

Author:

Sahu Barnali,Agrawal Supriya,Dey Hiranmay,Raj Chandani

Publisher

Springer Nature Singapore

Reference11 articles.

1. Rajeswari, P., Reena, G.: Analysis of liver disorder using data mining algorithm. Glob. J. Comput. Sci. Technol. 10, 48–52 (2010)

2. Ramana, B., Surendra, P., et al.: A critical study of selected classification algorithms for liver disease diagnosis. Int. J. Database Manage. Syst. 3(2), 101–114 (2011)

3. Karthik, S., Priyadarshini, A., et al.: Classification and rule extraction using rough set for diagnosis of liver disease and its types. Adv. Appl. Sci. Res. 2(3), 334–345 (2011)

4. Vohra, R., Rani, P., et al.: Liver patient classification using intelligent techniques. Int. J. Comput. Sci. Inf. Technol. (IJCSIT) 5(4), 5110–5115 (2014)

5. Mitra, M.: Machine learning models for predicting the diagnosis of liver disease. Koomesh 16(1) (2014)

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