A hybrid neural network model for predicting kidney disease in hypertension patients based on electronic health records

Y Ren, H Fei, X Liang, D Ji, M Cheng - BMC medical informatics and …, 2019 - Springer
Background Disease prediction based on Electronic Health Records (EHR) has become
one hot research topic in biomedical community. Existing work mainly focuses on the …

Chronic kidney disease prediction using machine learning techniques

DA Debal, TM Sitote - Journal of Big Data, 2022 - Springer
Goal three of the UN's Sustainable Development Goal is good health and well-being where
it clearly emphasized that non-communicable diseases is emerging challenge. One of the …

Early prediction of chronic kidney disease: A comprehensive performance analysis of deep learning models

C Mondol, FMJM Shamrat, MR Hasan, S Alam… - Algorithms, 2022 - mdpi.com
Chronic kidney disease (CKD) is one of the most life-threatening disorders. To improve
survivability, early discovery and good management are encouraged. In this paper, CKD …

[PDF][PDF] Using ensemble learning and advanced data mining techniques to improve the diagnosis of chronic kidney disease

M Majid, Y Gulzar, S Ayoub, F Khan… - Int J Adv Comput Sci …, 2023 - researchgate.net
Kidney failure is a condition with far-reaching, potentially life-threatening consequences on
the human body. Leveraging the power of machine learning and data mining, this research …

[PDF][PDF] Prediction of chronic kidney disease using data mining feature selection and ensemble method

S Zeynu, S Patil - International Journal of Data Mining in Genomics & …, 2018 - academia.edu
The failure of the kidney is affected the whole human body and it can be a cause of the
seriously ill and cause of deaths. Machine learning and data mining techniques are the most …

[引用][C] Prediction of chronic kidney disease using random forest machine learning algorithm

M Kumar - International Journal of Computer Science and Mobile …, 2016

Classification system for prediction of chronic kidney disease using data mining techniques

I Saha, MK Gourisaria, GM Harshvardhan - Advances in Data and …, 2022 - Springer
Chronic kidney disease leads to the dysfunctioning of kidneys where it is unable to regulate
and filter minerals from the blood. To help the medical experts, this paper shows the …

Two-class classification: Comparative experiments for chronic kidney disease

AA Johari, MH Abd Wahab… - 2019 4th International …, 2019 - ieeexplore.ieee.org
Over two million of population across worldwide is currently depending on dialysis treatment
or a kidney transplant to survive from kidney disease. Therefore, it is imperative for health …

Chronic kidney disease prediction using machine learning methods

IU Ekanayake, D Herath - 2020 Moratuwa Engineering …, 2020 - ieeexplore.ieee.org
Chronic Kidney Disease (CKD) or chronic renal disease has become a major issue with a
steady growth rate. A person can only survive without kidneys for an average time of 18 …

Machine learning prediction models for chronic kidney disease using national health insurance claim data in Taiwan

S Krishnamurthy, K Ks, E Dovgan, M Luštrek… - Healthcare, 2021 - mdpi.com
Chronic kidney disease (CKD) represents a heavy burden on the healthcare system
because of the increasing number of patients, high risk of progression to end-stage renal …