A comparative study of performance metrics of data mining algorithms on medical data

A Suragala, P Venkateswarlu, M China Raju - ICCCE 2020: Proceedings …, 2021 - Springer
Computers have brought about significant technological improvements leading to the
creation of enormous volumes of data, particularly in health care systems. The availability of …

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 …

Performance analysis of classification algorithms on early detection of liver disease

M Abdar, M Zomorodi-Moghadam, R Das… - Expert Systems with …, 2017 - Elsevier
The human liver is one of the major organs in the body and liver disease can cause many
problems in human life. Fast and accurate prediction of liver disease allows early and …

[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 …

Prediction of liver disorders using machine learning algorithms: a comparative study

MF Rabbi, SMM Hasan, AI Champa… - 2020 2nd …, 2020 - ieeexplore.ieee.org
Liver, a crucial interior organ of the human body whose principal tasks are to eliminate
generated waste produced by our organism, digest food, and preserve vitamins and energy …

Prediction of hepatitis disease using K-nearest neighbors, Naive Bayes, support vector machine, multi-layer perceptron and random forest

MJ Nayeem, S Rana, F Alam… - … on information and …, 2021 - ieeexplore.ieee.org
At present, Hepatitis is one of the serious types of disease which causes death around the
world. It is responsiblefor inflammation in the human liver. If we can succeed to detect this …

Predictive data analytics technique for optimization of medical databases

R Chauhan, N Kumar, R Rekapally - Soft Computing: Theories and …, 2019 - Springer
The medical databases are expanding at exponential rate; forfeit technology is required to
determine hidden information and facts from such big databases. The data mining …

Application of machine learning in disease prediction

PS Kohli, S Arora - 2018 4th International conference on …, 2018 - ieeexplore.ieee.org
The application of machine learning in the field of medical diagnosis is increasing gradually.
This can be contributed primarily to the improvement in the classification and recognition …

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 …

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 …