Feature selection techniques in the context of big data: taxonomy and analysis

HM Abdulwahab, S Ajitha, MAN Saif - Applied Intelligence, 2022 - Springer
Abstract Recent advancements in Information Technology (IT) have engendered the rapid
production of big data, as enormous volumes of data with high dimensional features grow …

An efficient cloud‐based healthcare services paradigm for chronic kidney disease prediction application using boosted support vector machine

J Aswini, B Yamini, R Jatothu… - Concurrency and …, 2022 - Wiley Online Library
Cloud computing is the on‐demand access to computer resources such as applications,
servers, data storage, development tools, networking capabilities, and other resources that …

A comprehensive unsupervised framework for chronic kidney disease prediction

L Antony, S Azam, E Ignatious, R Quadir… - IEEE …, 2021 - ieeexplore.ieee.org
The incidence, prevalence, and progression of chronic kidney disease (CKD) conditions
have evolved over time, especially in countries that have varied social determinants of …

[Retracted] Early Detection and Diagnosis of Chronic Kidney Disease Based on Selected Predominant Features

Z Ullah, M Jamjoom - Journal of healthcare engineering, 2023 - Wiley Online Library
In numerous perilous cases, a quick medical decision is needed for the early detection of
chronic diseases to avoid austere consequences that may be fatal. Chronic kidney disease …

Predictive classifier for cardiovascular disease based on stacking model fusion

J Liu, X Dong, H Zhao, Y Tian - Processes, 2022 - mdpi.com
The etiology of cardiovascular disease is still an unsolved world problem, and high
morbidity, disability, and mortality are the main characteristics of cardiovascular diseases …

Machine learning to reveal an astute risk predictive framework for Gynecologic Cancer and its impact on women psychology: Bangladeshi perspective

S Asaduzzaman, MR Ahmed, H Rehana… - BMC …, 2021 - Springer
Background In this research, an astute system has been developed by using machine
learning and data mining approach to predict the risk level of cervical and ovarian cancer in …

Multilayer perceptron neural network with arithmetic optimization algorithm-based feature selection for cardiovascular disease prediction

FA Alghamdi, H Almanaseer, G Jaradat… - Machine Learning and …, 2024 - mdpi.com
In the healthcare field, diagnosing disease is the most concerning issue. Various diseases
including cardiovascular diseases (CVDs) significantly influence illness or death. On the …

Ebola deep wavelet extreme learning machine based chronic kidney disease prediction on the internet of medical things platform

TB Prasad Reddy, D Vydeki - Concurrency and Computation …, 2023 - Wiley Online Library
Various significant methodologies have been developed in classifying chronic kidney
disease (CKD). But still, there emerge certain drawbacks, including high storage space …

The Impact of COVID-19 Infection on Patients with Chronic Diseases Admitted to ICU: a Cohort Retrospective Study

F Alammari, BS Al-Sowayan, B Albdah… - Journal of Epidemiology …, 2023 - Springer
Abstract The coronavirus disease (COVID-19) infection is causing significant morbidity and
mortality rates worldwide. A comprehensive investigation of the disease characteristics …

[HTML][HTML] Analyze the impact of feature selection techniques in the early prediction of CKD

K Hema, K Meena, R Pandian - International Journal of Cognitive …, 2024 - Elsevier
Background Chronic renal disease, often known as Chronic Kidney Disease (CKD), is an
illness that causes a steady decline in kidney function. As per the World Health Organization …