NeuroSVM: a graphical user interface for identification of liver patients

K Nagaraj, A Sridhar - arXiv preprint arXiv:1502.05534, 2015 - arxiv.org
Diagnosis of liver infection at preliminary stage is important for better treatment. In todays
scenario devices like sensors are used for detection of infections. Accurate classification …

Diagnosis of liver disease using machine learning models

A Sivasangari, BJK Reddy, A Kiran… - … Conference on I-SMAC …, 2020 - ieeexplore.ieee.org
Liver disease is one of the key causes of high numbers of deaths in the country and is
considered a life-threatening disease, not just anywhere, but worldwide. Liver disease can …

Liver disease detection and prediction using SVM techniques

EM Hameed, IS Hussein… - 2022 3rd Information …, 2022 - ieeexplore.ieee.org
Because of the high prevalence and mortality rate of liver disease, early diagnosis is
essential. Machine learning techniques can be introduced in the diagnosis and treatment of …

Liver disease prediction using machine learning algorithms

R Kalaiselvi, K Meena, V Vanitha - … International Conference on …, 2021 - ieeexplore.ieee.org
In Human beings, Liver is the most primary part of the body that performs many functions
including the production of Bile, excretion of bile and bilirubin, metabolism of proteins and …

Machine learning approaches for liver disease diagnosing

B Khan, R Naseem, M Ali, M Arshad… - International Journal of …, 2019 - ijdsaa.com
In ongoing time liver disease that is any damage in the liver capacity, are exceptionally
normal everywhere throughout the world. It has been found that liver disease is discovered …

Liver disease prediction using semi supervised based machine learning algorithm

AJM Rani, S Nishanthini… - … on Smart Electronics …, 2022 - ieeexplore.ieee.org
Recently, liver disease is emerging as one of the most common diseases with high fatality
rate. The number of liver affected patients are steadily increasing due to various factors such …

Prediction of hepatitis disease using machine learning technique

VK Yarasuri, GK Indukuri… - … on I-SMAC (IoT in Social …, 2019 - ieeexplore.ieee.org
The objective of this work is to choose the best tool for diagnosis and detection of Hepatitis
as well as for the prediction of life expectancy of Hepatitis patients. In this work, a …

Comparative Analysis of Machine Learning Algorithms for Liver Disease Prediction: SVM, Logistic Regression, and Decision Tree

VR Modhugu, S Ponnusamy - Asian Journal of …, 2024 - eprints.go2submission.com
This study compares Support Vector Machine (SVM), Logistic Regression, and Decision
Tree algorithms for liver disease prediction using a dataset sourced from Kaggle, comprising …

[PDF][PDF] Liver disease detection using machine learning techniques

D Bhupathi, CNL Tan, SS Tirumula, SK Ray - 2022 - researchgate.net
Around a million deaths occur due to liver diseases globally. There are several traditional
methods to diagnose liver diseases, but they are expensive. Early prediction of liver disease …

Detection of Liver Disease Using Machine Learning Approach

PR Kshirsagar, DH Reddy, M Dhingra… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
For more effective therapy, it's critical to get an early diagnosis of liver illness. Due to the
disease's modest symptoms, it is a very difficult challenge for medical experts to forecast the …