Recent advances in medical image processing for the evaluation of chronic kidney disease

I Alnazer, P Bourdon, T Urruty, O Falou, M Khalil… - Medical Image …, 2021 - Elsevier
Assessment of renal function and structure accurately remains essential in the diagnosis
and prognosis of Chronic Kidney Disease (CKD). Advanced imaging, including Magnetic …

[HTML][HTML] A survey of machine learning in kidney disease diagnosis

J Qezelbash-Chamak, S Badamchizadeh… - Machine Learning with …, 2022 - Elsevier
Applications of Machine learning (ML) in health informatics have gained increasing
attention. The timely diagnosis of kidney disease and the subsequent immediate response …

[HTML][HTML] Smart healthcare disease diagnosis and patient management: Innovation, improvement and skill development

A Ray, AK Chaudhuri - Machine Learning with Applications, 2021 - Elsevier
Data mining (DM) is an instrument of pattern detection and retrieval of knowledge from a
large quantity of data. Many robust early detection services and other health-related …

[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 …

Diplin: A Disease Risk Prediction Model Based on EfficientNetV2 and Transfer Learning Applied to Nursing Homes

F Zhou, S Hu, X Wan, Z Lu, J Wu - Electronics, 2023 - mdpi.com
In the context of population aging, to reduce the run on public medical resources, nursing
homes need to predict the health risks of the elderly periodically. However, there is no …

Inferring the occurrence of chronic kidney failure: a data mining solution

R Pramanik, S Khare, MK Gourisaria - Proceedings of Second Doctoral …, 2022 - Springer
Kidney is a vital and essential organ as it helps to get rid of waste and subsidiary fluids from
our body. Our kidneys do away with acids that are secreted cells present in our body, and …

[HTML][HTML] Artificial intelligence-aided ultrasound in renal diseases: a systematic review

X Liang, M Du, Z Chen - Quantitative Imaging in Medicine and …, 2023 - ncbi.nlm.nih.gov
Background The development of artificial intelligence (AI) techniques has provided a novel
strategy for improving the performance of renal ultrasound. To reflect the development of AI …

[PDF][PDF] Machine Learning Techniques for Electronic Health Records: Review of a Decade of Research

V Sharma, A Bajaj, A Abraham - International Journal of Computer …, 2023 - mirlabs.org
Advancement in Machine Learning (ML) has opened new gateways for transforming the
healthcare sector. This paper explores the integration of ML techniques within the …

Chronic Kidney Disease Detection using AdaBoosting Ensemble Method and K-Fold Cross Validation

NM Suganthi, VM Jemin, P Rama… - 2022 International …, 2022 - ieeexplore.ieee.org
CKD (Chronic Kidney Disease) is among the most serious health issues worldwide. Among
the causes of total global mortality, chronic kidney disease ranked 27th in the Global Burden …

Predicting and staging chronic kidney disease using optimized random forest algorithm

S Samet, MR Laouar, I Bendib - 2021 International Conference …, 2021 - ieeexplore.ieee.org
The silent killer Chronic Kidney Disease (CKD) in wealthy countries and listed with the
leading causes of death in impoverished countries. Because of its rising incidence, CKD is …