A Soft Computing Approaches to Predict Liver Prognosis and Classification: A Systematic Review

Authors

  • Ch. Rajasekhara Rao , K. Eswara Rao, and K. Sravanthi, Boddepalli Alekya

Keywords:

Machine Learning, Soft Computing, Ensemble Learning, Liver Prognosis

Abstract

The liver, with its two granular lobes on either side, is one of the biggest and most vital organs in the human body. Itslocation on the upper right side of the belly is enormous. The creation of bile, elimination of waste items from food, metabolic processes, cleansing of the blood through digestive regulation, and mineral and vitamin storage

References

P1. Fritsh, H & Kuhnel, W 2003, Atlas De Poche Anatomie.

P2. Vilgrain, V 2000, Imagig of atypical hemangiomas of the liver with pathologic correlation.

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Published

2023-06-20

How to Cite

Ch. Rajasekhara Rao , K. Eswara Rao, and K. Sravanthi, Boddepalli Alekya. (2023). A Soft Computing Approaches to Predict Liver Prognosis and Classification: A Systematic Review. Journal of Computational Analysis and Applications (JoCAAA), 31(4), 2977–2998. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5542

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Section

Articles