Prediction of Serum Creatinine in Hemodialysis Patients Using a Kernel Approach for Longitudinal Data-Reference-Cited by-同舟云学术

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Prediction of Serum Creatinine in Hemodialysis Patients Using a Kernel Approach for Longitudinal Data

Published:2020-04-30 Issue:2 Volume:26 Page:112-118
ISSN:2093-369X
Container-title:Healthcare Informatics Research
language:en
Short-container-title:Healthc Inform Res

Author:

Amiri Mohammad Moqaddasi,Tapak Leili,Faradmal Javad,Hosseini Javad,Roshanaei Ghodratollah

Funder

Hamadan University of Medical Sciences

Publisher

The Korean Society of Medical Informatics

Subject

Health Information Management,Health Informatics,Biomedical Engineering

Link

http://e-hir.org/upload/pdf/hir-26-2-112.pdf

Reference25 articles.

1. The effectiveness and cost-effectiveness of methods of storing donated kidneys from deceased donors: a systematic review and economic model

2. Can Cystatin C Replace Creatinine to Estimate Glomerular Filtration Rate? A Literature Review

3. Salivary creatinine and urea analysis in patients with chronic kidney disease: a case control study

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2. A Machine Learning Framework for Diagnosing and Predicting the Severity of Coronary Artery Disease;Reviews in Cardiovascular Medicine;2023-06-08

3. Investigation on the Effect of Household Income and Demographic Factors on Healthcare Cost in Perak;Springer Proceedings in Physics;2022

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