[PDF][PDF] Predicting liver patients using artificial neural network

MM Musleh, E Alajrami, AJ Khalil… - … Journal of Academic …, 2019 - researchgate.net
Liver diagnosis at an early stage is essential for enhanced handling. Precise classification is
required for automatic recognition of disease from data samples (utilizing data mining for …

[PDF][PDF] A comparative study on liver disease prediction using supervised machine learning algorithms

AS Rahman, FJM Shamrat, Z Tasnim, J Roy… - International Journal of …, 2019 - academia.edu
Chronic Liver Disease is the leading cause of global death that impacts the massive quantity
of humans around the world. This disease is caused by an assortment of elements that harm …

Prediction of liver disease using classification algorithms

AS Singh, M Irfan, A Chowdhury - 2018 4th international …, 2018 - ieeexplore.ieee.org
The industry that are providing healthcare is producing a large amount of data. We know that
Machine Learning algorithms can also be used to find hidden information for diagnosis and …

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 …

Intelligent model to predict early liver disease using machine learning technique

TM Ghazal, AU Rehman, M Saleem… - … for Technology and …, 2022 - ieeexplore.ieee.org
Liver Disease (LD) is the main cause of death worldwide, affecting a large number of
people. A variety of factors affect the liver, resulting in this disease. The diagnosis of this …

[PDF][PDF] Decision factors on effective liver patient data prediction

H Jin, S Kim, J Kim - International Journal of Bio-Science and Bio …, 2014 - academia.edu
Various types of stress and irregular eating habits, as well as inhalation of alcohol and
ongoing toxic gas, ingestion of contaminated food, excessive consumption of pickled food …

[PDF][PDF] Liver disease prediction using SVM and Naïve Bayes algorithms

S Vijayarani, S Dhayanand - International Journal of Science …, 2015 - researchgate.net
In recent years in healthcare sectors, data mining became an ease of use for disease
prediction. Data mining is the process of dredge up information from the massive datasets or …

Liver disease prediction using machine learning classification techniques

K Gupta, N Jiwani, N Afreen… - 2022 IEEE 11th …, 2022 - ieeexplore.ieee.org
Machine Learning is a process which is used to discover patterns in huge data/large data
set to enable decision, thereby allowing machines to go through a learning process (ie …

A study on hepatitis disease diagnosis using multilayer neural network with Levenberg Marquardt training algorithm

MS Bascil, F Temurtas - Journal of medical systems, 2011 - Springer
In this study, a hepatitis disease diagnosis study was realized using neural network
structure. For this purpose, a multilayer neural network structure was used. Levenberg …

Analysis of data mining techniques for healthcare decision support system using liver disorder dataset

TR Baitharu, SK Pani - Procedia Computer Science, 2016 - Elsevier
Accuracy in data classification depends on the dataset used for learning. Now-a-days the
most important cause of death for both men and women is due to the Liver Problem. The …