Computational Models Used to Predict Cardiovascular Complications in Chronic Kidney Disease Patients: A Systematic Review

Computational Models Used to Predict Cardiovascular Complications in Chronic Kidney Disease Patients: A Systematic Review

<i>Background and objectives:</i> cardiovascular complications (CVC) are the leading cause of death in patients with chronic kidney disease (CKD). Standard cardiovascular disease risk prediction models used in the general population are not validated in patients with CKD. We aim to syste...

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Bibliographic Details
Main Authors: Alexandru Burlacu, Adrian Iftene, Iolanda Valentina Popa, Radu Crisan-Dabija, Crischentian Brinza, Adrian Covic
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Medicina
Subjects:
chronic kidney disease
artificial intelligence
cardiovascular complications
prevention
predictive models
Online Access:https://www.mdpi.com/1648-9144/57/6/538

Internet

https://www.mdpi.com/1648-9144/57/6/538

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