[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 …

[HTML][HTML] An intelligent approach for Arabic handwritten letter recognition using convolutional neural network

Z Ullah, M Jamjoom - PeerJ Computer Science, 2022 - peerj.com
Currently, digital transformation has occurred in most countries in the world to varying
degrees, but digitizing business processes are complex in terms of understanding the …

[HTML][HTML] A smart secured framework for detecting and averting online recruitment fraud using ensemble machine learning techniques

Z Ullah, M Jamjoom - PeerJ Computer Science, 2023 - peerj.com
With the rise of the Internet and social media, information has become available at our
fingertips. However, on the dark side, these advancements have opened doors for …

[HTML][HTML] Classification of adaptive back propagation neural network along with fuzzy logic in chronic kidney disease

KR Vineetha, MS Maharajan, K Bhagyashree… - e-Prime-Advances in …, 2024 - Elsevier
A steady deterioration in kidney function over months or years is known as chronic kidney
disease (CKD). Through a range of techniques, such as pharmacological intervention in …

[HTML][HTML] Artificial multi-verse optimisation for predicting the effect of ideological and political theory course

X Zhuang, Z Yi, Y Wang, Y Chen, S Yu - Heliyon, 2024 - cell.com
Enhancing teaching sufficiency is crucial because low teaching efficiency has always been
a widespread issue in ideological and political theory course. Evaluating data on the course …

Crunching Data for Early Warning: Predicting Renal Conditions in Real Time

M Jaipurkar, N Ragit, C Tambuskar… - … on Reliability, Infocom …, 2024 - ieeexplore.ieee.org
Chronic Renal Disease (CRD) poses a significant global health concern, impacting
approximately one in five men and one in four women. Its insidious progression and late …

Improving Prediction of Chronic Kidney Disease Using KNN Imputed SMOTE Features and TrioNet Model.

N Alturki, A Altamimi, M Umer… - … in Engineering & …, 2024 - search.ebscohost.com
Chronic kidney disease (CKD) is a major health concern today, requiring early and accurate
diagnosis. Machine learning has emerged as a powerful tool for disease detection, and …

Performance Evaluation and Comparative Analysis of Machine Learning Techniques to Predict the Chronic Kidney Disease

MB Malik, M Ali, S Bashir, SM Ganie - International Conference on Artificial …, 2023 - Springer
Chronic kidney disease is one of the most fatal diseases affecting people worldwide. As a
result, it is critical to forecast and identify this illness as early as possible, enabling medical …

An Analysis of Machine Learning Algorithms for Chronic Kidney Disease Prediction

A Arora, C Sehgal, N Agarwal - 2024 14th International …, 2024 - ieeexplore.ieee.org
Chronic Kidney Disease (CKD) is a critical global health concern, especially in low-and
middle-income nations, where compromised kidney function hinders effective blood …

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 …