Prediction of chronic kidney disease and its progression by artificial intelligence algorithms
Background and objective Aim of nephrologists is to delay the outcome and reduce the
number of patients undergoing renal failure (RF) by applying prevention protocols and …
number of patients undergoing renal failure (RF) by applying prevention protocols and …
[HTML][HTML] Intelligent diagnostic prediction and classification models for detection of kidney disease
Kidney disease is a major public health concern that has only recently emerged. Toxins are
removed from the body by the kidneys through urine. In the early stages of the condition, the …
removed from the body by the kidneys through urine. In the early stages of the condition, the …
A systematic review of vision transformers and convolutional neural networks for Alzheimer's disease classification using 3D MRI images
MA Bravo-Ortiz, SA Holguin-Garcia… - Neural Computing and …, 2024 - Springer
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that mainly affects
memory and other cognitive functions, such as thinking, reasoning, and the ability to carry …
memory and other cognitive functions, such as thinking, reasoning, and the ability to carry …
Performance evaluation on machine learning classification techniques for disease classification and forecasting through data analytics for chronic kidney disease …
W Gunarathne, KDM Perera… - 2017 IEEE 17th …, 2017 - ieeexplore.ieee.org
Chronic Kidney Disease (CKD) is considered as kidney damage which lasts longer than
three months. In Sri Lanka, CKD has become a severe problem in the present days due to …
three months. In Sri Lanka, CKD has become a severe problem in the present days due to …
A novel approach to predict chronic kidney disease using machine learning algorithms
B Gudeti, S Mishra, S Malik… - 2020 4th …, 2020 - ieeexplore.ieee.org
A staggering 63,538 cases have been registered according to India's health statistics on
Chronic Kidney Disease (CKD). The average age of nephropathy for humans lies between …
Chronic Kidney Disease (CKD). The average age of nephropathy for humans lies between …
[PDF][PDF] Prediction of chronic kidney disease using machine learning algorithm
S Tekale, P Shingavi, S Wandhekar… - International Journal of …, 2018 - researchgate.net
In today's era everyone is trying to be conscious about health although due to workload and
busy schedule one gives attention to the health when it shows any symptoms of some kind …
busy schedule one gives attention to the health when it shows any symptoms of some kind …
Performance analysis of chronic kidney disease through machine learning approaches
Data mining and machine learning play a vital role in health care and also medical
information and detection, Now a day machine learning techniques use awareness of some …
information and detection, Now a day machine learning techniques use awareness of some …
[HTML][HTML] Prediction of chronic kidney disease using different classification algorithms
KM Almustafa - Informatics in Medicine Unlocked, 2021 - Elsevier
Chronical kidney disease (CKD) is a common kidney function problem that causes
deterioration of kidney performance and leads to kidney failure. An early diagnostic …
deterioration of kidney performance and leads to kidney failure. An early diagnostic …
Risk prediction of chronic kidney disease using machine learning algorithms
SY Yashfi, MA Islam, N Sakib, T Islam… - 2020 11th …, 2020 - ieeexplore.ieee.org
CKD is a serious reason of demise and disability. It was the 27th focal reason in 1990 and
became 18th focal reason in 2010. Near about 1 million people lose their life in 2013. In …
became 18th focal reason in 2010. Near about 1 million people lose their life in 2013. In …
A comparative study for predicting heart diseases using data mining classification methods
Improving the precision of heart diseases detection has been investigated by many
researchers in the literature. Such improvement induced by the overwhelming health care …
researchers in the literature. Such improvement induced by the overwhelming health care …