[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] Snake-efficient feature selection-based framework for precise early detection of chronic kidney disease

WN Ismail - Diagnostics, 2023 - mdpi.com
Chronic kidney disease (CKD) refers to impairment of the kidneys that may worsen over
time. Early detection of CKD is crucial for saving millions of lives. As a result, several studies …

HCDP-DELM: Heterogeneous chronic disease prediction with temporal perspective enabled deep extreme learning machine

A Rehman, H Xing, M Hussain, N Gulzar… - Knowledge-Based …, 2024 - Elsevier
The strain on healthcare systems is growing dramatically due to the significant rise in
heterogeneous chronic disease incidence. Even though frequent patient monitoring is …

[HTML][HTML] Toward comprehensive chronic kidney disease prediction based on ensemble deep learning models

DM Alsekait, H Saleh, LA Gabralla, K Alnowaiser… - Applied Sciences, 2023 - mdpi.com
Chronic kidney disease (CKD) refers to the gradual decline of kidney function over months
or years. Early detection of CKD is crucial and significantly affects a patient's decreasing …

[HTML][HTML] Unlocking precision medicine for prognosis of chronic kidney disease using machine learning

Y Dubey, P Mange, Y Barapatre, B Sable, P Palsodkar… - Diagnostics, 2023 - mdpi.com
Chronic kidney disease (CKD) is a significant global health challenge that requires timely
detection and accurate prognosis for effective treatment and management. The application …

[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 …

Improved deep learning model based on integrated convolutional neural networks and transfer learning for shoeprint image classification

NN Goundar - 2023 - openrepository.aut.ac.nz
Abstract Machine Learning (ML) and Deep Learning (DL) techniques have recently aided in
resolving critical problems in various sectors and use cases. For example, image …

[HTML][HTML] A Semi-Automated Solution Approach Recommender for a Given Use Case: a Case Study for AI/ML in Oncology via Scopus and OpenAI

DK Kılıç, AE Vasegaard, A Desoeuvres… - Human-Centric Intelligent …, 2024 - Springer
Nowadays, literature review is a necessary task when trying to solve a given problem.
However, an exhaustive literature review is very time-consuming in today's vast literature …

[HTML][HTML] FuDNN-FOSMO: Early detection of Chronic Kidney Disease using FuDNN with Fractional Order Sequence Optimization Algorithm Classifier

G Pandiselvi, CP Chandran, S Rajathi - e-Prime-Advances in Electrical …, 2024 - Elsevier
Early diagnosis and prediction of chronic kidney disease (CKD) progress within a given
duration are critical to ensure personalized treatment, which could improve patients' quality …

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 …