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 …

[HTML][HTML] 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 - 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 …

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. Developing an effective medical decision …

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 …

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 …

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 …

Decision support system for predicting survivability of hepatitis patients

FR Albogamy, J Asghar, F Subhan… - Frontiers in Public …, 2022 - frontiersin.org
Background and Objective Viral hepatitis is a major public health concern on a global scale.
It predominantly affects the world's least developed countries. The most endemic regions are …

Design and Implementation of 3D Animation Data Processing Development Platform Based on Artificial Intelligence

Q Gao - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
Based on the whole process of computer‐aided technology, a 3D animation data processing
development platform based on artificial intelligence is designed and implemented. A …

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 …

Integrated neural network and evolutionary algorithm approach for liver fibrosis staging: Can artificial intelligence reduce patient costs?

A Nazarizadeh, T Banirostam, T Biglari… - JGH …, 2024 - Wiley Online Library
Abstract Background and Aim Staging liver fibrosis is important, and liver biopsy is the gold
standard diagnostic tool. We aim to design and evaluate an artificial neural network (ANN) …