Predicting chronic kidney disease using hybrid machine learning based on apache spark

MA Abdel-Fattah, NA Othman… - Computational …, 2022 - Wiley Online Library
Chronic kidney disease (CKD) has become a widespread disease among people. It is
related to various serious risks like cardiovascular disease, heightened risk, and end‐stage …

Data-driven early diagnosis of chronic kidney disease: development and evaluation of an explainable AI model

PA Moreno-Sánchez - IEEE Access, 2023 - ieeexplore.ieee.org
Chronic Kidney Disease (CKD) is currently experiencing a growing worldwide incidence
and can lead to premature mortality if diagnosed late, resulting in rising costs to healthcare …

A machine learning analysis of health records of patients with chronic kidney disease at risk of cardiovascular disease

D Chicco, CA Lovejoy, L Oneto - IEEE Access, 2021 - ieeexplore.ieee.org
Chronic kidney disease (CKD) describes a long-term decline in kidney function and has
many causes. It affects hundreds of millions of people worldwide every year. It can have a …

Intelligent knowledge consolidation: from data to wisdom

M Hussain, FA Satti, SI Ali, J Hussain, T Ali… - Knowledge-Based …, 2021 - Elsevier
Abstract Knowledge based systems have accomplished remarkable achievements in
assisting evidence based decision making for complex problems. However, machine …

Ensemble feature ranking for cost-based non-overlapping groups: A case study of chronic kidney disease diagnosis in developing countries

SI Ali, HSM Bilal, M Hussain, J Hussain, FA Satti… - IEEE …, 2020 - ieeexplore.ieee.org
Chronic kidney disease (CKD) is one of the leading medical ailments in developing
countries. Due to the limited healthcare infrastructure and the lack of trained human …

Efficient classification of kidney disease detection using Heterogeneous Modified Artificial Neural Network and Fruit Fly Optimization Algorithm

J Deepika, P Selvaraju, MK Thota… - … in Applied Sciences …, 2023 - semarakilmu.com.my
Chronic kidney disease (CKD), a significant issue for public health, affects millions of
individuals globally. The course of end-stage renal disease must be stopped or reversed …

[HTML][HTML] Analyzing Longitudinal Health Screening Data with Feature Ensemble and Machine Learning Techniques: Investigating Diagnostic Risk Factors of Metabolic …

MS Chen, TC Liu, MJ Jhou, CT Yang, CJ Lu - Diagnostics, 2024 - mdpi.com
Longitudinal data, while often limited, contain valuable insights into features impacting
clinical outcomes. To predict the progression of chronic kidney disease (CKD) in patients …

[HTML][HTML] Identifying complex emotions in alexithymia affected adolescents using machine learning techniques

SD ArulDass, P Jayagopal - Diagnostics, 2022 - mdpi.com
Many scientific researchers' study focuses on enhancing automated systems to identify
emotions and thus relies on brain signals. This study focuses on how brain wave signals can …

Weighted fuzzy C means and enhanced adaptive neuro-fuzzy inference based chronic kidney disease classification

M Lincy Jacquline, N Sudha - Journal of Fuzzy Extension and …, 2024 - journal-fea.com
Chronic nephritic sickness is another name for Chronic Kidney Disease (CKD). Numerous
complications, such as elevated blood levels, anemia, weak bones, and nerve damage …

Early-stage diagnosis of chronic kidney disease using majority vote–Grey Wolf optimization (MV-GWO)

M Siddhartha, V Kumar, R Nath - Health and Technology, 2022 - Springer
Abstract Chronic Kidney Disease (CKD) is a serious health issue that is growing at an
alarming rate. A person having CKD can only be saved by providing kidney transplantation …