Predicting the function of transplanted kidney in long-term care processes: Application of a hybrid model-Reference-Cited by-同舟云学术

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Predicting the function of transplanted kidney in long-term care processes: Application of a hybrid model

Published:2019-03 Issue: Volume:91 Page:103116
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Rashidi Khazaee Parviz,Bagherzadeh M. Jamshid,Niazkhani Zahra,Pirnejad Habibollah

Funder

Urmia University of Medical Sciences

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference35 articles.

1. Biomarkers for kidney transplant rejection;Lo;Nat. Rev. Nephrol.,2014

2. A simple tool to predict outcomes after kidney transplant;Kasiske;Am. J. Kidney Dis.,2010

3. National Kidney Foundation, https://www.kidney.org/atoz/content/gfr, 2018 (Accessed 25 August 2018).

4. Personalized medicine and prediction of outcome in kidney transplant;Goldfarb-Rumyantzev;Am. J. Kidney Dis.,2010

5. Estimated one-year glomerular filtration rate is the best predictor of long-term graft function following renal transplant;Salvadori;Transplantation,2006

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1. An Optimized Hybrid ARIMA-LSTM Model for Time Series Forecasting of Agricultural Production in India;Microorganisms for Sustainability;2024

2. Management of an aneurysmal arteriovenous fistula in kidney transplant recipients;Transplantation Reviews;2023-12

3. Artificial Intelligence in Kidney Transplantation: A Scoping Review (Preprint);2021-04-27

4. A hybrid ARIMA-LSTM model optimized by BP in the forecast of outpatient visits;Journal of Ambient Intelligence and Humanized Computing;2020-10-19

5. Translation of evidence into kidney transplant clinical practice: managing drug-lab interactions by a context-aware clinical decision support system;BMC Medical Informatics and Decision Making;2020-08-20

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