Empirical comparisons for combining balancing and feature selection strategies for characterizing football players using FIFA video game system

MA Al-Asadi, S Tasdemir - IEEE Access, 2021 - ieeexplore.ieee.org
The process of modelling individual player performance using machine learning is a mature
task in sports analytics. The most significant challenges in machine learning include class …

Machine Learning Technology‐Based Heart Disease Detection Models

U Nagavelli, D Samanta… - Journal of Healthcare …, 2022 - Wiley Online Library
At present, a multifaceted clinical disease known as heart failure disease can affect a greater
number of people in the world. In the early stages, to evaluate and diagnose the disease of …

[HTML][HTML] Heart disease risk prediction using machine learning classifiers with attribute evaluators

KVV Reddy, I Elamvazuthi, AA Aziz, S Paramasivam… - Applied Sciences, 2021 - mdpi.com
Cardiovascular diseases (CVDs) kill about 20.5 million people every year. Early prediction
can help people to change their lifestyles and to ensure proper medical treatment if …

[HTML][HTML] Cloud computing-based framework for breast cancer diagnosis using extreme learning machine

V Lahoura, H Singh, A Aggarwal, B Sharma… - Diagnostics, 2021 - mdpi.com
Globally, breast cancer is one of the most significant causes of death among women. Early
detection accompanied by prompt treatment can reduce the risk of death due to breast …

Comparative study on heart disease prediction using feature selection techniques on classification algorithms

K Dissanayake, MG Md Johar - … Computational Intelligence and …, 2021 - Wiley Online Library
Heart disease is recognized as one of the leading factors of death rate worldwide.
Biomedical instruments and various systems in hospitals have massive quantities of clinical …

[Retracted] Heart Disease Prediction Based on the Embedded Feature Selection Method and Deep Neural Network

D Zhang, Y Chen, Y Chen, S Ye, W Cai… - Journal of healthcare …, 2021 - Wiley Online Library
In recent decades, heart disease threatens people's health seriously because of its
prevalence and high risk of death. Therefore, predicting heart disease through some simple …

[HTML][HTML] The complementary roles of genome-wide approaches in identifying genes linked to an inherited risk of colorectal cancer

O Ahmad, A Försti - Hereditary Cancer in Clinical Practice, 2023 - Springer
The current understanding of the inherited risk of colorectal cancer (CRC) started with an
observational clinical era in the late 19th century, which was followed by a genetic era …

Significance of Visible Non‐Invasive Risk Attributes for the Initial Prediction of Heart Disease Using Different Machine Learning Techniques

SI Ansarullah, SM Saif, P Kumar… - Computational …, 2022 - Wiley Online Library
Introduction. Heart disease is emerging as the single most critical cause of death worldwide
and is one of the costliest chronic conditions. Purpose. Stimulated by the increasing heart …

HealthFaaS: AI based smart healthcare system for heart patients using serverless computing

M Golec, SS Gill, AK Parlikad… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Heart disease is one of the leading causes of death worldwide, and with early detection,
mortality rates can be reduced. Well-known studies have shown that the latest artificial …

A diabetes monitoring system and health-medical service composition model in cloud environment

SK Sharma, AT Zamani, A Abdelsalam, D Muduli… - IEEE …, 2023 - ieeexplore.ieee.org
Diabetes is a common chronic illness or absence of sugar in the blood. The early detection
of this disease decreases the serious risk factor. Nowadays, Machine Learning based cloud …