A Review on Kidney Failure Prediction Using Machine Learning Models

BP Naveenya, J Premalatha - Reliability Engineering for Industrial …, 2024 - Springer
End-stage renal disease (ESRD), commonly known as kidney failure, is a critical medical
condition that has a significant impact on global health. Early detection of kidney failure is …

Analysis and Classification of Occurrence of Brain Stroke Types using Machine Learning Approaches

N Neema, RJ Prathibha… - 2022 IEEE 2nd Mysore Sub …, 2022 - ieeexplore.ieee.org
Strokes are the second leading cause of mortality and also long-term disability. A blockage
in the blood flow to the brain or a broken supply line to the brain causes the sudden death of …

Analysis of Machine Learning Algorithms in Predicting Chronic Kidney Diseases Based on Performance: A Systematic Literature Review

AA Alpaullivarez, M Aurelia, S Monica… - 2023 4th International …, 2023 - ieeexplore.ieee.org
Chronic Kidney Disease (CKD) has been increasing nowadays from 750 million cases in
2019 to 850 million in 2023. Lack of access and late detection are one of the reasons why …

Comparative Analysis of Machine Learning Algorithms for Early Detection of Chronic Kidney Disease

M Kaur, G Kaur - 2023 4th International Conference on …, 2023 - ieeexplore.ieee.org
Chronic kidney disease (CKD) is a significant public health issue with a high morbidity rate.
Machine learning (ML) algorithms have shown potential for improving the detection and …

A Machine Learning Approach to Predict Renal Diseases with SARS-CoV-2

MA Mahmood, P Lata - 2021 Emerging Technology in …, 2021 - ieeexplore.ieee.org
Research has shown that up to a lot of people hospitalized with COVID-19 get an intense
kidney injury. In some serious cases, Kidney failure occurs suddenly without any major …

Chronic Kidney Disease (Ckd) Prediction by Supervised Machine Learning Techniques

A Pandey, NS Kumar, H Sadadekar… - … on Smart Generation …, 2023 - ieeexplore.ieee.org
The function of kidney is filtering waste and excess fluid from our body which is then let out
through urine excretion. Due to Chronic Kidney disease there will be kidney impairment …

Mathematical Model for Early Diagnosis of Diabetes Mellitus

I Uvaliyeva, A Ismukhamedova - 2021 International Young …, 2021 - ieeexplore.ieee.org
Diabetes mellitus is a dangerous chronic disease, which without regular monitoring, healthy
lifestyle and proper treatment acquires a severe course, accompanied by a high risk of …

Use of the Method of Setting the Interval Target in the Problem of Synthesis of a Neural Network Classifier for Diagnosing Chronic Kidney Disease in Patients

E Mirkin, E Savchenko - … and Information Technologies: Proceedings of the …, 2022 - Springer
The paradigm of teaching ANN with an “interval teacher” is considered to solve the problems
of medical diagnosis of chronic kidney disease. In this concept, the ANN implemented a …

Constructive Analysis on Prediction and Detection of Diabetic Retinopathy (DR) using Machine Learning Algorithms-A Generic Survey

C Keerthana, P Tejasree, MVS Rao… - 2023 7th …, 2023 - ieeexplore.ieee.org
Diabetic retinopathy is an eye disorder that affects people with diabetes. When high blood
sugar levels harm the retina's blood vessels, the blood vessels may enlarge and leak or they …

A Study on Machine Learning Based Diabetic Retinopathy

MD Shreyas, AR KP… - … Conference on Inventive …, 2022 - ieeexplore.ieee.org
Diabetic Retinopathy (DR), one of the main causes of blindness in the eyes, is curable in its
early stages. The first indicators are red lesions, which include both micro aneurysms (MAs) …