[HTML][HTML] Enhancing the early detection of chronic kidney disease: a robust machine learning model

MS Arif, A Mukheimer, D Asif - Big Data and Cognitive Computing, 2023 - mdpi.com
Clinical decision-making in chronic disorder prognosis is often hampered by high variance,
leading to uncertainty and negative outcomes, especially in cases such as chronic kidney …

An ensemble learning approach for chronic kidney disease classification

S Srivastava, RK Yadav, V Narayan… - Journal of …, 2022 - pnrjournal.com
Chronic kidney disease (CKD) is a potentially fatal condition that is difficult to identify early
due to the absence of symptoms. The suggested study's goal is to create and verify a …

Comprehensive performance assessment of deep learning models in early prediction and risk identification of chronic kidney disease

S Akter, A Habib, MA Islam, MS Hossen… - IEEE …, 2021 - ieeexplore.ieee.org
The incidence of chronic kidney disease (CKD) is rising rapidly around the globe.
Asymptomatic CKD is common and guideline-directed monitoring to predict CKD by various …

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 …

[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 …

Predicting Kidney Failure using an Ensemble Machine Learning Model: A Comparative Study

MS Haque, MS Amin, S Ahmad… - 2023 10th …, 2023 - ieeexplore.ieee.org
Within the domain of healthcare, medical diagnoses invariably necessitate comprehensive
physical examinations and meticulous reviews of patients' medical histories. This study …

Predictive Machine Learning Approaches for Chronic Kidney Disease

S Srivastav, K Guleria, S Sharma - 2023 4th International …, 2023 - ieeexplore.ieee.org
It might be challenging to diagnose chronic kidney disease (CKD) in its early stages due to
the lack of symptoms. The creation and validation of a predictive model for the prognosis of …

Comparing Machine Learning Techniques for Detecting Chronic Kidney Disease in Early Stage

MAR Rahat, MDT Islam, DM Cao… - Journal of …, 2024 - al-kindipublisher.com
In medical care, side effect trial and error processes are utilized for the discovery of hidden
reasons for ailments and the determination of conditions. In our exploration, we used a …

[HTML][HTML] Deep-kidney: an effective deep learning framework for chronic kidney disease prediction

D Saif, AM Sarhan, NM Elshennawy - Health Information Science and …, 2023 - Springer
Chronic kidney disease (CKD) is one of today's most serious illnesses. Because this disease
usually does not manifest itself until the kidney is severely damaged, early detection saves …

An Intelligent Diagnostic System to Analyze Early‐Stage Chronic Kidney Disease for Clinical Application

NI Md. Ashafuddula, B Islam… - … Intelligence and Soft …, 2023 - Wiley Online Library
Chronic kidney disease (CKD) is a progressive condition characterized by the gradual
deterioration of kidney functions, potentially leading to kidney failure if not promptly …