New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease

R Gupta, S Kumari, A Senapati, RK Ambasta… - Ageing research …, 2023 - Elsevier
Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …

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 …

Diagnosis of chronic kidney disease using effective classification algorithms and recursive feature elimination techniques

EM Senan, MH Al-Adhaileh, FW Alsaade… - Journal of healthcare …, 2021 - Wiley Online Library
Chronic kidney disease (CKD) is among the top 20 causes of death worldwide and affects
approximately 10% of the world adult population. CKD is a disorder that disrupts normal …

A computer-aided diagnosis system for the classification of COVID-19 and non-COVID-19 pneumonia on chest X-ray images by integrating CNN with sparse …

JL Gayathri, B Abraham, MS Sujarani… - Computers in biology and …, 2022 - Elsevier
Several infectious diseases have affected the lives of many people and have caused great
dilemmas all over the world. COVID-19 was declared a pandemic caused by a newly …

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 …

A machine learning methodology for diagnosing chronic kidney disease

J Qin, L Chen, Y Liu, C Liu, C Feng, B Chen - IEEE access, 2019 - ieeexplore.ieee.org
Chronic kidney disease (CKD) is a global health problem with high morbidity and mortality
rate, and it induces other diseases. Since there are no obvious symptoms during the early …

Detection and diagnosis of chronic kidney disease using deep learning-based heterogeneous modified artificial neural network

F Ma, T Sun, L Liu, H Jing - Future Generation Computer Systems, 2020 - Elsevier
The prevalence of chronic kidney disease (CKD) increases annually in the present scenario
of research. One of the sources for further therapy is the CKD prediction where the Machine …

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 …

Predicting the risk of chronic kidney disease (ckd) using machine learning algorithm

W Wang, G Chakraborty, B Chakraborty - Applied Sciences, 2020 - mdpi.com
Background: Creatinine is a type of metabolite of blood that is strongly correlated to
glomerular filtration rate (GFR). As measuring GFR is difficult, creatinine value is used for …

[HTML][HTML] Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images

KK Patro, JP Allam, BC Neelapu, R Tadeusiewicz… - Information …, 2023 - Elsevier
Kidney stone disease is a serious public health concern that is getting worse with changes
in diet, obesity, medical conditions, certain supplements etc. A kidney stone also called a …