[PDF][PDF] Comparative study of chronic kidney disease prediction using KNN and SVM
P Sinha, P Sinha - International Journal of Engineering Research …, 2015 - academia.edu
Chronic kidney disease (CKD), also known as chronic renal disease. Chronic kidney
disease involves conditions that damage your kidneys and decrease their ability to keep you …
disease involves conditions that damage your kidneys and decrease their ability to keep you …
Comparative study of classifier for chronic kidney disease prediction using naive bayes, KNN and random forest
R Devika, SV Avilala… - 2019 3rd International …, 2019 - ieeexplore.ieee.org
Chronic kidney disease (CKD), is also known as chronic nephritic sickness. It defines
constrains which affects your kidneys and reduces your potential to stay healthy. There will …
constrains which affects your kidneys and reduces your potential to stay healthy. There will …
[PDF][PDF] A literature review on kidney disease prediction using data mining classification technique
S Bala, K Kumar - International Journal of Computer Science and …, 2014 - academia.edu
The huge amounts of data generated by healthcare transactions are too complex and
voluminous to be processed and analyzed by traditional methods. Data mining provides the …
voluminous to be processed and analyzed by traditional methods. Data mining provides the …
Chronic kidney disease survival prediction with artificial neural networks
The main objective of this work is to investigate the performance of Artificial Neural Network
(ANN) models while applying to the survivability prediction on Chronic Kidney Disease …
(ANN) models while applying to the survivability prediction on Chronic Kidney Disease …
[PDF][PDF] Statistical analysis and predicting kidney diseases using machine learning algorithms
PS Baby, TP Vital - International Journal of Engineering Research …, 2015 - academia.edu
Data mining techniques has been used as a recent trend for achieving diagnostics results, in
medical fields such as kidney dialysis. Data mining concepts are used to examine a rich …
medical fields such as kidney dialysis. Data mining concepts are used to examine a rich …
Classification and association rule mining technique for predicting chronic kidney disease
Background and objective: Chronic kidney disease (CKD) is one of the deadly diseases that
can affect a lot of vital organs in the human body such as heart, liver, and lungs. Many …
can affect a lot of vital organs in the human body such as heart, liver, and lungs. Many …
Smart health care system using data mining
S Mohapatra, PK Patra, S Mohanty… - 2018 International …, 2018 - ieeexplore.ieee.org
The healthcare industry collects huge amounts of healthcare data which, unfortunately, are
not" mined" to discover hidden information for effective decision making. Data mining has …
not" mined" to discover hidden information for effective decision making. Data mining has …
[PDF][PDF] The diagnosis and estimate of chronic kidney disease using the machine learning methods
Chronic kidney disease is a prolonged disease that damages the kidneys and prevents the
normal duties of the kidneys. This disease is diagnosed with an increase of urinary albumin …
normal duties of the kidneys. This disease is diagnosed with an increase of urinary albumin …
Homoeopathic preparation of Berberis vulgaris as an inhibitor of Calcium oxalate crystallization: An in vitro evidence
T Ganesan, D Bhavani Ravi, J Vasavan, A Khurana… - 2015 - aohindia.in
Background: Berberis vulgaris is the most widely used drug in Homoeopathy for treating
urolithiasis. However, its mechanism of action in alleviating its consequences remains …
urolithiasis. However, its mechanism of action in alleviating its consequences remains …
Review on data mining techniques in healthcare sector
S Kaur, RK Bawa - 2018 2nd International Conference on I …, 2018 - ieeexplore.ieee.org
State-of-the-art open-source data mining suites are in boon for extraction from voluminous
data to the required useful data. New techniques are required owing to the size and …
data to the required useful data. New techniques are required owing to the size and …