A comparative analysis of machine learning models: a case study in predicting chronic kidney disease

H Iftikhar, M Khan, Z Khan, F Khan, HM Alshanbari… - Sustainability, 2023 - mdpi.com
In the modern world, chronic kidney disease is one of the most severe diseases that
negatively affects human life. It is becoming a growing problem in both developed and …

A novel method for predicting kidney stone type using ensemble learning

Y Kazemi, SA Mirroshandel - Artificial intelligence in medicine, 2018 - Elsevier
The high morbidity rate associated with kidney stone disease, which is a silent killer, is one
of the main concerns in healthcare systems all over the world. Advanced data mining …

[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 …

Chronic Kidney Disease analysis using data mining classification techniques

V Kunwar, K Chandel, AS Sabitha… - 2016 6th International …, 2016 - ieeexplore.ieee.org
Data mining has been a current trend for attaining diagnostic results. Huge amount of
unmined data is collected by the healthcare industry in order to discover hidden information …

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 …

Comparison of machine learning algorithms in data classification

CAU Hassan, MS Khan… - 2018 24th International …, 2018 - ieeexplore.ieee.org
Data Mining is used to extract the valuable information from raw data. The task of data
mining is to utilize the historical data to discover hidden patterns that helpful for future …

Hybrid method for mining rules based on enhanced Apriori algorithm with sequential minimal optimization in healthcare industry

M Sornalakshmi, S Balamurali, M Venkatesulu… - Neural Computing and …, 2020 - Springer
Data mining may enable healthcare organizations, with analysis of the different prospects
and connection between seemingly unrelated information, to anticipate trends in the …

[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 …

Prediction for chronic kidney disease by categorical and non_categorical attributes using different machine learning algorithms

S Pal - Multimedia Tools and Applications, 2023 - Springer
Chronic kidney disease (CKD) is a common disease as it is difficult to diagnose early due to
its lack of symptoms. The main goal is to first diagnose kidney failure, which is a requirement …

[PDF][PDF] Applying machine learning techniques for predicting the risk of chronic kidney disease

KRA Padmanaban, G Parthiban - Indian Journal …, 2016 - sciresol.s3.us-east-2.amazonaws …
Objective: This paper aims at predicting the early detection of chronic kidney disease also
known as chronic renal disease for diabetic patients with the help of machine learning …