Abstract
The overall evaluation of the research work is based on the liver disease classification and prediction performed by comparing different working procedures and merits of each method with other works in terms of performance metrics. This research work concluded that SVM have the better performance rate when compared to different techniques for classification of the patients with the liver disease using different datasets.
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Subhani, H., Badugu, S. (2020). A Study of Liver Disease Classification Using Data Mining and Machine Learning Algorithms. In: Satapathy, S.C., Raju, K.S., Shyamala, K., Krishna, D.R., Favorskaya, M.N. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. ICETE 2019. Learning and Analytics in Intelligent Systems, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-030-24318-0_72
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