Predict, diagnose, and treat chronic kidney disease with machine learning: a systematic literature review

F Sanmarchi, C Fanconi, D Golinelli, D Gori… - Journal of …, 2023 - Springer
Objectives In this systematic review we aimed at assessing how artificial intelligence (AI),
including machine learning (ML) techniques have been deployed to predict, diagnose, and …

Early diagnosis of brain tumour mri images using hybrid techniques between deep and machine learning

EM Senan, ME Jadhav, TH Rassem… - … Methods in Medicine, 2022 - Wiley Online Library
Cancer is considered one of the most aggressive and destructive diseases that shortens the
average lives of patients. Misdiagnosed brain tumours lead to false medical intervention …

A deep neural network for early detection and prediction of chronic kidney disease

V Singh, VK Asari, R Rajasekaran - Diagnostics, 2022 - mdpi.com
Diabetes and high blood pressure are the primary causes of Chronic Kidney Disease (CKD).
Glomerular Filtration Rate (GFR) and kidney damage markers are used by researchers …

Eye tracking-based diagnosis and early detection of autism spectrum disorder using machine learning and deep learning techniques

IA Ahmed, EM Senan, TH Rassem, MAH Ali… - Electronics, 2022 - mdpi.com
Eye tracking is a useful technique for detecting autism spectrum disorder (ASD). One of the
most important aspects of good learning is the ability to have atypical visual attention. The …

Comparative study on heart disease prediction using feature selection techniques on classification algorithms

K Dissanayake, MG Md Johar - … Computational Intelligence and …, 2021 - Wiley Online Library
Heart disease is recognized as one of the leading factors of death rate worldwide.
Biomedical instruments and various systems in hospitals have massive quantities of clinical …

A robust chronic kidney disease classifier using machine learning

D Swain, U Mehta, A Bhatt, H Patel, K Patel, D Mehta… - Electronics, 2023 - mdpi.com
Clinical support systems are affected by the issue of high variance in terms of chronic
disorder prognosis. This uncertainty is one of the principal causes for the demise of large …

Deep learning and machine learning techniques of diagnosis dermoscopy images for early detection of skin diseases

I Abunadi, EM Senan - Electronics, 2021 - mdpi.com
With the increasing incidence of severe skin diseases, such as skin cancer, endoscopic
medical imaging has become urgent for revealing the internal and hidden tissues under the …

Kidney failure detection and predictive analytics for ckd using machine learning procedures

SM Nimmagadda, SS Agasthi, A Shai… - … Methods in Engineering, 2023 - Springer
Kidneys are the functional units of our body. They assist in body balance by filtering the
wastes, toxins, and excess water from the bloodstream and are carried out of the body …

Predicting chronic kidney disease using hybrid machine learning based on apache spark

MA Abdel-Fattah, NA Othman… - Computational …, 2022 - Wiley Online Library
Chronic kidney disease (CKD) has become a widespread disease among people. It is
related to various serious risks like cardiovascular disease, heightened risk, and end‐stage …

Chronic kidney disease prediction using boosting techniques based on clinical parameters

SM Ganie, PK Dutta Pramanik, S Mallik, Z Zhao - Plos one, 2023 - journals.plos.org
Chronic kidney disease (CKD) has become a major global health crisis, causing millions of
yearly deaths. Predicting the possibility of a person being affected by the disease will allow …