Artificial neural network is highly predictive of outcome in paediatric acute liver failure-Reference-Cited by-同舟云学术

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Artificial neural network is highly predictive of outcome in paediatric acute liver failure

Published:2013-06-27 Issue:6 Volume:17 Page:535-542
ISSN:1397-3142
Container-title:Pediatric Transplantation
language:en
Short-container-title:Pediatr Transplantation

Author:

Rajanayagam J.¹,Frank E.²,Shepherd R. W.,Lewindon P. J.³

Affiliation:

1. Department of Pediatric Gastroenterology Hepatology and Nutrition; Starship Children's Hospital; Auckland; New Zealand

2. Department of Computer Science; University of Waikato; Hamilton; New Zealand

3. Department of Pediatric Gastroenterology Hepatology and Nutrition; Royal Children's Hospital; Brisbane; Qld; Australia

Publisher

Wiley

Subject

Transplantation,Pediatrics, Perinatology and Child Health

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/petr.12100/fullpdf

Reference22 articles.

1. Acute liver failure in neonates, infants and children;Devictor;Expert Rev Gastroenterol Hepatol,2011

2. ANZLTR

3. Acute liver failure in children: The first 348 patients in the Pediatric acute liver failure study group;Squires;J Pediatr,2006

4. Etiology, outcome and prognostic indicators of childhood fulminant hepatic failure in the United Kingdom;Lee;J Pediatr Gastroenterol Nutr,2005

5. Acute liver failure in children: A regional experience;Ee;J Paediatr Child Health,2003

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1. AN OVERVIEW ON PEDIATRIC LIVING DONOR LIVER TRANSPLANTATION;European Journal of Transplantation;2024-04

2. Artificial intelligence, machine learning, and deep learning in liver transplantation;Journal of Hepatology;2023-06

3. Prognostic factors and scoring systems associated with outcome in pediatric acute liver failure;BMC Pediatrics;2022-08-31

4. Emergencies in paediatric hepatology;Journal of Hepatology;2022-05

5. The Role of Predictive Models in the Assessment of the Poor Outcomes in Pediatric Acute Liver Failure;Journal of Clinical Medicine;2022-01-15

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