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Efficient data-driven machine learning models for cardiovascular diseases risk prediction
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 …
and human habits have changed significantly. CVDs are accompanied by various …
Analyzing Quantum Feature Engineering and Balancing Strategies Effect on Liver Disease Classification
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 …
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 …
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
(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 …
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 …
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 …
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 …
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
Hepatitis C, a significant global health challenge, affects 71 million people worldwide, with
severe complications such as cirrhosis and hepatocellular carcinoma. Despite its …
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 …
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 …
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 …
virus primarily affects the liver. Based on the publicly available dataset used in this paper the …