[HTML][HTML] Computer-aided decision-making for predicting liver disease using PSO-based optimized SVM with feature selection

JH Joloudari, H Saadatfar, A Dehzangi… - Informatics in medicine …, 2019 - Elsevier
Using medical data mining models has been considered as a significant way to predict
diseases in recent years. In the field of healthcare, we face a large amount of data, and this …

Supervised machine learning based liver disease prediction approach with LASSO feature selection

S Afrin, FMJM Shamrat, TI Nibir, MF Muntasim… - Bulletin of Electrical …, 2021 - beei.org
In this contemporary era, the uses of machine learning techniques are increasing rapidly in
the field of medical science for detecting various diseases such as liver disease (LD) …

Software-based prediction of liver disease with feature selection and classification techniques

J Singh, S Bagga, R Kaur - Procedia Computer Science, 2020 - Elsevier
Today's health care is very important aspect for every human, so there is a need to provide
medical services that are easily available to everyone. In this paper, the main focus is to …

[HTML][HTML] Prediction of chronic liver disease patients using integrated projection based statistical feature extraction with machine learning algorithms

R Amin, R Yasmin, S Ruhi, MH Rahman… - Informatics in Medicine …, 2023 - Elsevier
The healthy liver plays more than 500 organic roles in the human body, while a malfunction
may be dangerous or even deadly. Early diagnosis and treatment of liver disease can …

Prediction of different types of liver diseases using rule based classification model

Y Kumar, G Sahoo - Technology and Health Care, 2013 - content.iospress.com
Background: Diagnosing different types of liver diseases clinically is a quite hectic process
because patients have to undergo large numbers of independent laboratory tests. On the …

A hybrid machine learning algorithm for heart and liver disease prediction using modified particle swarm optimization with support vector machine

MP Behera, A Sarangi, D Mishra, SK Sarangi - Procedia Computer Science, 2023 - Elsevier
Abstract Machine learning is now extensively applied in a variety of fields. Machine learning
is employed like an efficient assistance mechanism in clinical diagnostics since vast …

A machine learning approach based on SVM for classification of liver diseases

M Fathi, M Nemati, SM Mohammadi… - Biomedical …, 2020 - World Scientific
The liver is an organ in the body that plays an important role in the production and secretion
of the bile. Recently, the number of liver patients are increasing because of the inhalation of …

[PDF][PDF] Performance analysis of liver disease prediction using machine learning algorithms

MB Priya, PL Juliet, PR Tamilselvi - Int. Res. J. Eng. Technol, 2018 - academia.edu
Data Mining is one of the most critical aspects of automated disease diagnosis and disease
prediction. It involves data mining algorithms and techniques to analyze medical data. In …

Strategic analysis in prediction of liver disease using different classification algorithms

B Khan, PK Shukla, MK Ahirwar… - Handbook of Research on …, 2021 - igi-global.com
Liver diseases avert the normal activity of the liver. Discovering the presence of liver
disorder at an early stage is a complex task for the doctors. Predictive analysis of liver …

Ensemble method based predictive model for analyzing disease datasets: a predictive analysis approach

D Ramesh, YS Katheria - Health and Technology, 2019 - Springer
Medical datasets have attracted the research community for possible analysis and suitable
prediction, which helps the human to take proper precautions in preventing future diseases …