[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 …

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 …

[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 …

Chronic kidney disease survival prediction with artificial neural networks

H Zhang, CL Hung, WCC Chu… - … on Bioinformatics and …, 2018 - ieeexplore.ieee.org
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 …

[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 …

Classification and association rule mining technique for predicting chronic kidney disease

A Alaiad, H Najadat, B Mohsen… - Journal of Information & …, 2020 - World Scientific
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 …

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 …

[PDF][PDF] The diagnosis and estimate of chronic kidney disease using the machine learning methods

E Celik, M Atalay, A Kondiloglu - International Journal of Intelligent …, 2016 - dergipark.org.tr
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 …

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 …

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 …