A new clinical spectrum for the assessment of nonalcoholic fatty liver disease using intelligent methods

A Singh, P Nath, V Singhal, D Anand, S Verma… - IEEE …, 2020 - ieeexplore.ieee.org
Nonalcoholic Fatty Liver Disease (NAFLD) is the most common cause of chronic liver
disease around the world. Remaining silent in the early stages makes its evaluation a …

A novel hybrid algorithm for aiding prediction of prognosis in patients with hepatitis

L Parisi, N RaviChandran, ML Manaog - Neural Computing and …, 2020 - Springer
This study investigated the application of a novel hybrid artificial intelligence (AI)-based
classifier for aiding prediction of the prognosis in patients with chronic hepatitis. Nineteen …

[PDF][PDF] Modeling for predicting the severity of hepatitis based on artificial neural networks

SH Muhi, HN Abdullah, BH Abd - International Journal of …, 2020 - researchgate.net
This work aims to design an intelligent model capable of diagnosing and predicting the
severity of the hepatitis of illness that assists physicians to make an accurate decision. The …

Implementation of neural network for the liver disease classification

TJC Limchesing, NT Bugtai… - … Conference on Applied …, 2020 - ieeexplore.ieee.org
The liver is a valuable internal organ, however having different entities pass through this
organ makes it vulnerable to various pathologies. This paper presents using an intelligent …

A survey on artificial intelligence based techniques for diagnosis of hepatitis variants

AMG John-Otumu, GU Ogba… - Journal of Advances in …, 2020 - sciengtexopen.org
Hepatitis is a dreaded disease that has taken the lives of so many people over the recent
past years. The research survey shows that hepatitis viral disease has five major variants …