Development of a machine learning-based model for the prediction and progression of diabetic kidney disease: A single centred retrospective study-Reference-Cited by-同舟云学术

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Development of a machine learning-based model for the prediction and progression of diabetic kidney disease: A single centred retrospective study

Published:2024-10 Issue: Volume:190 Page:105546
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Nayak Sandhya,Amin Ashwini,Reghunath Swetha R.,Thunga Girish,Acharya U Dinesh,Shivashankara K.N.,Prabhu Attur Ravindra,Acharya Leelavathi D.

Publisher

Elsevier BV

Reference71 articles.

1. Mayo Clinic. Diabetic nephropathy (kidney disease) - Symptoms and causes. Available from:https://www.mayoclinic.org/diseases-conditions/diabetic-nephropathy/symptoms-causes/syc-20354556 [Internet]. [Assessed 12 May 2023].

2. The Epidemiology of Diabetic Kidney Disease;Hoogeveen;Kidney Dial.,2022

3. Changing epidemiology of type 2 diabetes mellitus and associated chronic kidney disease. Nature Reviews Nephrology;Thomas;Nat. Publ. Group,2016

4. Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017;Bikbov;Lancet,2020

5. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010;Lozano;Lancet,2012

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