Machine learning algorithms for predicting the risk of chronic kidney disease in type 1 diabetes patients: a retrospective longitudinal study-Reference-Cited by-同舟云学术

Machine learning algorithms for predicting the risk of chronic kidney disease in type 1 diabetes patients: a retrospective longitudinal study

Published:2024-05-29 Issue:26 Volume:36 Page:16545-16565
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Chowdhury Md Nakib Hayat,Reaz Mamun Bin Ibne^ORCID,Ali Sawal Hamid Md,Crespo María Liz,Cicuttin Andrés,Ahmad Shamim,Haque Fahmida,Bakar Ahmad Ashrif A.,Razak Mohd Ibrahim Bin Shapiai Abd,Bhuiyan Mohammad Arif Sobhan

Funder

Ministry of Higher Education (KPT), Malaysia

Universiti Kebangsaan Malaysia

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00521-024-09959-6.pdf

Reference64 articles.

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3. Wang V, Vilme H, Maciejewski ML, Boulware LE (2016) The economic burden of chronic kidney disease and end-stage renal disease. Semin Nephrol 36(4):319–330. https://doi.org/10.1016/j.semnephrol.2016.05.008

4. Centers for Disease Control and Prevention. Chronic Kidney Disease in the United States, 2021. Atlanta, GA: US Department of Health and Human Services, Centers for Disease Control and Prevention; 2021

5. Cockwell P, Fisher L-A (2020) The global burden of chronic kidney disease. The Lancet 395(10225):662–664. https://doi.org/10.1016/S0140-6736(19)32977-0