Machine learning models for chronic kidney disease diagnosis and prediction
MM Rahman, M Al-Amin, J Hossain - Biomedical Signal Processing and …, 2024 - Elsevier
Background and objective Chronic kidney disease is a severe health problem that affects
people all over the world, particularly in South Asia. Therefore, proper diagnosis and …
people all over the world, particularly in South Asia. Therefore, proper diagnosis and …
Hybrid classification framework for chronic kidney disease prediction model
S Patil, S Choudhary - The Imaging Science Journal, 2024 - Taylor & Francis
ABSTRACT 'Chronic kidney disease (CKD)–or chronic renal failure (CRF) is a term that
encompasses all degrees of decreased kidney function, from damaged–at risk through mild …
encompasses all degrees of decreased kidney function, from damaged–at risk through mild …
[HTML][HTML] On the diagnosis of chronic kidney disease using a machine learning-based interface with explainable artificial intelligence
G Dharmarathne, M Bogahawaththa, M McAfee… - Intelligent Systems with …, 2024 - Elsevier
Abstract Chronic Kidney Disease (CKD) is increasingly recognised as a major health
concern due to its rising prevalence. The average survival period without functioning …
concern due to its rising prevalence. The average survival period without functioning …
[HTML][HTML] Enhancing kidney disease prediction with optimized forest and ECG signals data
M Binsawad - Heliyon, 2024 - cell.com
To improve the early detection of Chronic Kidney Disease (CKD) utilizing electrocardiogram
(ECG) data, this study explores the use of the Optimized Forest (Opt-Forest) model …
(ECG) data, this study explores the use of the Optimized Forest (Opt-Forest) model …
FEPP: Advancing Software Risk Prediction in Requirements Engineering Through Innovative Rule Extraction and Multi-Class Integration
M Binsawad, B Khan - IEEE Access, 2024 - ieeexplore.ieee.org
The increasing complexity of software projects makes it difficult to predict risks in software
requirements, which is a crucial and essential part of the Software Development Life Cycle …
requirements, which is a crucial and essential part of the Software Development Life Cycle …
Artificial intelligence-based smart devices for biomedical applications
In recent years, artificial intelligence (AI) has emerged as a game-changing force across
several sectors, especially in healthcare. This book chapter explores the transformative …
several sectors, especially in healthcare. This book chapter explores the transformative …
[PDF][PDF] ABMRF: An Ensemble Model for Author Profiling Based on Stylistic Features Using Roman Urdu.
This study explores the area of Author Profiling (AP) and its importance in several industries,
including forensics, security, marketing, and education. A key component of AP is the …
including forensics, security, marketing, and education. A key component of AP is the …
A Comprehensive Analysis of Identifying Patients with Chronic Kidney Disease
S Geetha, CN Marimuthu… - … and Control (IC4), 2024 - ieeexplore.ieee.org
Chronic Kidney Disease (CKD) is a prevalent and progressive health condition affecting
millions of individuals worldwide. Early identification and management of CKD are critical to …
millions of individuals worldwide. Early identification and management of CKD are critical to …
Early detection of chronic kidney disease using recursive feature elimination and cross-validated XGBoost model.
M Kumar - … Journal of Computational Materials Science & …, 2024 - search.ebscohost.com
Chronic kidney disease (CKD) is listed among the top 20 leading causes of death
worldwide, highlighting the urgent need for effective methods of early disease prediction for …
worldwide, highlighting the urgent need for effective methods of early disease prediction for …
Early Prediction and Progrssion of Chronic Kidney Disease Using Machine Lerning Techniques
N Sonone, A Daniel - 2024 2nd International Conference on …, 2024 - ieeexplore.ieee.org
A serious medical condition is chronic kidney disease that necessitates early detection and
continuing monitoring to avoid harmful consequences. This report describes a …
continuing monitoring to avoid harmful consequences. This report describes a …