A survey of ensemble learning: Concepts, algorithms, applications, and prospects

ID Mienye, Y Sun - IEEE Access, 2022 - ieeexplore.ieee.org
Ensemble learning techniques have achieved state-of-the-art performance in diverse
machine learning applications by combining the predictions from two or more base models …

A machine learning method with filter-based feature selection for improved prediction of chronic kidney disease

SA Ebiaredoh-Mienye, TG Swart, E Esenogho… - Bioengineering, 2022 - mdpi.com
The high prevalence of chronic kidney disease (CKD) is a significant public health concern
globally. The condition has a high mortality rate, especially in developing countries. CKD …

A deep learning ensemble with data resampling for credit card fraud detection

ID Mienye, Y Sun - IEEE Access, 2023 - ieeexplore.ieee.org
Credit cards play an essential role in today's digital economy, and their usage has recently
grown tremendously, accompanied by a corresponding increase in credit card fraud …

An interpretable machine learning approach for hepatitis b diagnosis

G Obaido, B Ogbuokiri, TG Swart, N Ayawei… - Applied sciences, 2022 - mdpi.com
Hepatitis B is a potentially deadly liver infection caused by the hepatitis B virus. It is a serious
public health problem globally. Substantial efforts have been made to apply machine …

Predicting Construction Company Insolvent Failure: A Scientometric Analysis and Qualitative Review of Research Trends

J Wang, M Li, M Skitmore, J Chen - Sustainability, 2024 - mdpi.com
The construction industry is infamous for its high insolvent failure rate because construction
projects require complex processes, heavy investment, and long durations. However, there …

A machine learning method with hybrid feature selection for improved credit card fraud detection

ID Mienye, Y Sun - Applied Sciences, 2023 - mdpi.com
With the rapid developments in electronic commerce and digital payment technologies,
credit card transactions have increased significantly. Machine learning (ML) has been vital …

[HTML][HTML] A deep learning approach for Maize Lethal Necrosis and Maize Streak Virus disease detection

T O'Halloran, G Obaido, B Otegbade… - Machine Learning with …, 2024 - Elsevier
Maize is an important crop cultivated in Sub-Saharan Africa, essential for food security.
However, its cultivation faces significant challenges due to debilitating diseases such as …

A voting classifier for mortality prediction post-thoracic surgery

G Obaido, B Ogbuokiri, ID Mienye… - … Conference on Intelligent …, 2022 - Springer
Thoracic surgery involves the surgical treatment of vital organs inside the thoracic cavity to
treat conditions of the lungs, heart, trachea, diaphragm, etc. Such procedures are primarily …

An Improved Ensemble Method for Predicting Hyperchloremia in Adults with Diabetic Ketoacidosis

G Obaido, B Ogbuokiri, CW Chukwu, FJ Osaye… - IEEE …, 2024 - ieeexplore.ieee.org
Diabetic ketoacidosis (DKA) is a serious complication that affects millions of individuals
globally and presents significant health complications. Hyperchloremia, an electrolyte …

Heart disease prediction using enhanced machine learning techniques

ID Mienye, Y Sun - Intelligent Systems and Machine Learning for …, 2022 - taylorfrancis.com
Heart-related conditions are the leading cause of death globally. Early diagnosis and
treatment are vital in reducing the high morbidity and mortality rate. Numerous research …