CKD.Net: A novel deep learning hybrid model for effective, real-time, automated screening tool towards prediction of multi stages of CKD along with eGFR and creatinine-Reference-Cited by-同舟云学术

CKD.Net: A novel deep learning hybrid model for effective, real-time, automated screening tool towards prediction of multi stages of CKD along with eGFR and creatinine

Published:2023-08 Issue: Volume:223 Page:119851
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Akter Shamima^ORCID,Ahmed Manik,Al Imran Abdullah,Habib Ahsan,Ul Haque Rakib,Sohanur Rahman Md.,Rakibul Hasan Md.,Mahjabeen Samira

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference41 articles.

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2. Comprehensive Performance Assessment of Deep Learning Models in Early Prediction and Risk Identification of Chronic Kidney Disease;Akter;IEEE Access,2021

3. Classification of chronic kidney disease using logistic regression, feedforward neural network and wide & deep learning;Al Imran;International Conference on Innovation in Engineering and Technology (ICIET),2018

4. A Comprehensive Unsupervised Framework for Chronic Kidney Disease Prediction;Antony;IEEE Access,2021

5. Routine screening for CKD should be done in asymptomatic adults… selectively;Berns;Clinical Journal of the American Society of Nephrology,2014

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