[PDF][PDF] Identifying efficient features in diagnose of liver disease by decision tree models

M Montazeri, M Montazeri, A Beygzadeh… - HealthMED, 2014 - researchgate.net
Background: liver is one of the vital organs of human body and its health is of utmost
importance for our survival. Automatic classification instruments as a diagnostic tool help to …

[PDF][PDF] Identifying efficient clinical parameters in diagnose of liver disease

M Montazeri, M Montazeri, A Beygzadeh… - Health MED, 2014 - researchgate.net
Background: liver is one of the vital organs of human body. Automatic classification methods
as a diagnostic tool help to reduce the working load of doctors. However, choosing the …

Machine learning models for predicting the diagnosis of liver disease

M Montazeri, M Montazeri - Koomesh, 2014 - brieflands.com
: Introduction: The liver is the most important organ of the body has a central role in
metabolism. Liver disease cannot be easily discovered in the early stages, because even …

[PDF][PDF] Liver disorder diagnosis using linear, nonlinear and decision tree classification algorithms

A Singh, B Pandey - IJET, 2016 - academia.edu
In India and across the globe, liver disease is a serious area of concern in medicine.
Therefore, it becomes essential to use classification algorithms for assessing the disease in …

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 …

[PDF][PDF] Liver disease prediction by using different decision tree techniques

N Nahar, F Ara - International Journal of Data Mining & Knowledge …, 2018 - researchgate.net
Early prediction of liver disease is very important to save human life and take proper steps to
control the disease. Decision Tree algorithms have been successfully applied in various …

Data mining in predicting liver patients using classification model

SR Velu, V Ravi, K Tabianan - Health and Technology, 2022 - Springer
Purpose This study proposes to identify potential liver patients based on the results of a liver
function test performed during a health screening to search for signs of liver disease. It is …

[PDF][PDF] Liver patient classification using intelligent techniques

A Gulia, R Vohra, P Rani - International Journal of Computer Science and …, 2014 - Citeseer
Classification techniques have been widely used in the medical field for accurate
classification than an individual classifier. This paper presents computational intelligence …

Predictive strength of selected classification algorithms for diagnosis of liver disease

P Singh, D Chahal, L Kharb - … of ICRIC 2019: Recent innovations in …, 2020 - Springer
Human liver is believed to be the largest gland in human body. Weight of healthy human
livers is around 1.2–1.5 kg and contributes approximately 3.3% of total body weight. Liver …

[PDF][PDF] Liver disease prediction based on grid search and random forest classification

S Shinde, K Kand, J Sonawane, H Jathar… - Int. J. Eng. Appl. Sci …, 2022 - academia.edu
The Medical field is “data rich” and “knowledge poor”. This research proposes a Clinical
Decision Support System to process this data and early diagnosis of some physiological …