Feature Selection and Dimensionality Reduction for Unbalanced Liver Disease Classification with Optimized Machine Learning Algorithms

M Bahaj - 2023 7th IEEE Congress on Information Science …, 2023 - ieeexplore.ieee.org
The liver is a crucial organ that assures many vital functions within the organism.
Nevertheless, it may be affected by a variety of diseases without experiencing any symptoms …

Classification of hepatic disease using machine learning algorithms

L Singh, RR Janghel, SP Sahu - Advances in Biomedical Engineering and …, 2021 - Springer
Liver is one of the biggest gland and only organ of the human body which can restore
harmed cells. Disorders in liver function affects food digestion and releasing of harmful toxic …

A Study on Liver Disease Using Different Machine Learning Algorithms

P Rawat, M Bajaj, P Prerna, S Vats… - 2023 International …, 2023 - ieeexplore.ieee.org
With a high death rate and a huge financial burden, liver disease is a serious global health
problem. For patients to have better results and for healthcare expenditures to be reduced …

Graded Classification of Liver Cirrhosis Using Machine Learning Algorithms on a Highly Unbalanced Dataset

D Sengupta, S Mondal, AK De, YR Singh - Human-Centric Smart …, 2022 - Springer
Liver cirrhosis is the fibrosis of liver caused by a long-term damage of the organ. This study
classifies the disease in four classes based on a highly unbalanced dataset having 18 …

Liver Disease Identification Based on Machine Learning Algorithms

S Mohamed, R Ezzat, S Ghorab… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Liver disease became a worldwide issue that is more required to be solve. Early detection of
disease is extremely important for deriving the best treatment during the patient's treatment …

Liver Disease Classification by Pruning Data Dependency Utilizing Ensemble Learning Based Feature Selection

MAB Khaled, MM Rahman, MG Quaiyum… - … Joint Conference on …, 2022 - Springer
Liver disease is responsible for over 2 million additional deaths globally each year.
Therefore, early detection and treatment may lower the likelihood of liver disease-related …

[PDF][PDF] Predicting and Classifying Liver Functionality Disease through Machine Learning Methods

V Ramesh - Journal For Innovative Development in Pharmaceutical …, 2024 - jidps.com
Among the most prevalent harmful diseases in the world, liver disease has been on the rise
in recent decades and is predicted to keep rising. Researchers found it extremely difficult to …

Investigating the optimal parameterization of deep neural network and synthetic data workflow for imbalance liver disorder dataset classification

NE Diana, AB Ahmad, ZP Mahardika - … on Soft Computing and Data Mining …, 2020 - Springer
DNN (Deep neural network) has emerged as one of the standard methods to create a
classification model. The most common issue affecting DNN performance is the class …

[HTML][HTML] Adaptive Method for Exploring Deep Learning Techniques for Subtyping and Prediction of Liver Disease

AM Hendi, MA Hossain, NA Majrashi, S Limkar… - Applied Sciences, 2024 - mdpi.com
The term “Liver disease” refers to a broad category of disorders affecting the liver. There are
a variety of common liver ailments, such as hepatitis, cirrhosis, and liver cancer. Accurate …

[HTML][HTML] Multiclass liver disease prediction with adaptive data preprocessing and ensemble modeling

A Al Ahad, B Das, MR Khan, N Saha, A Zahid… - Results in …, 2024 - Elsevier
Liver disease includes a range of health conditions resulting from various factors that impact
the normal functioning of the liver over an extended period. Effective treatment of Hepatitis …