Efficient data-driven machine learning models for cardiovascular diseases risk prediction

E Dritsas, M Trigka - Sensors, 2023 - mdpi.com
Cardiovascular diseases (CVDs) are now the leading cause of death, as the quality of life
and human habits have changed significantly. CVDs are accompanied by various …

Analyzing Quantum Feature Engineering and Balancing Strategies Effect on Liver Disease Classification

AN Safriandono, DRIM Setiadi, A Dahlan… - Journal of Future …, 2024 - dl.futuretechsci.org
This research aims to improve the accuracy of liver disease classification using Quantum
Feature Engineering (QFE) and the Synthetic Minority Over-sampling Tech-nique and …

Machine learning insights concerning inflammatory and liver-related risk comorbidities in non-communicable and viral diseases

JA Martínez, M Alonso-Bernáldez… - World journal of …, 2022 - pmc.ncbi.nlm.nih.gov
The liver is a key organ involved in a wide range of functions, whose damage can lead to
chronic liver disease (CLD). CLD accounts for more than two million deaths worldwide …

Machine learning approaches for the prediction of hepatitis B and C seropositivity

V Harabor, R Mogos, A Nechita, AM Adam… - International journal of …, 2023 - mdpi.com
(1) Background: The identification of patients at risk for hepatitis B and C viral infection is a
challenge for the clinicians and public health specialists. The aim of this study was to …

Hepatitis C virus data analysis and prediction using machine learning

M Yağanoğlu - Data & Knowledge Engineering, 2022 - Elsevier
Medical decision support systems have been on the rise with technological advances and
they have been the subject of many studies. Develo** an effective medical decision …

Explainable ensemble-based machine learning models for detecting the presence of cirrhosis in Hepatitis C patients

A Alotaibi, L Alnajrani, N Alsheikh, A Alanazy… - Computation, 2023 - mdpi.com
Hepatitis C is a liver infection caused by a virus, which results in mild to severe inflammation
of the liver. Over many years, hepatitis C gradually damages the liver, often leading to …

Prediction of liver disease with random forest classifier through SMOTE-ENN balancing

A Seva, SNT Rao, M Sireesha - 2024 IEEE 13th International …, 2024 - ieeexplore.ieee.org
Liver disease is a major public health issue that affects people all over the globe; its early
diagnosis is an essential component of successful therapy and management. This study …

Implementation of C5. 0 Algorithm using Chi-Square Feature Selection for Early Detection of Hepatitis C Disease

M Mahmud, I Budiman, F Indriani, D Kartini… - Journal of Electronics …, 2024 - jeeemi.org
Hepatitis C, a significant global health challenge, affects 71 million people worldwide, with
severe complications such as cirrhosis and hepatocellular carcinoma. Despite its …

The Multi-Class Detection of Five Stages of Hepatitis C Using the Machine Learning Based Random Forest Algorithm

SA Farooq - 2023 World Conference on Communication & …, 2023 - ieeexplore.ieee.org
Hepatitis C is a viral illness that primarily impacts the liver, inducing persistent inflammation
and potentially resulting in significant liver harm over an extended duration. Its transmission …

The development of symbolic expressions for the detection of hepatitis C patients and the disease progression from blood parameters using genetic programming …

N Anđelić, I Lorencin, S Baressi Šegota, Z Car - Applied Sciences, 2022 - mdpi.com
Hepatitis C is an infectious disease which is caused by the Hepatitis C virus (HCV) and the
virus primarily affects the liver. Based on the publicly available dataset used in this paper the …