Prediction and evaluation of the severity of acute respiratory distress syndrome following severe acute pancreatitis using an artificial neural network algorithm model-Reference-Cited by-同舟云学术

Prediction and evaluation of the severity of acute respiratory distress syndrome following severe acute pancreatitis using an artificial neural network algorithm model

Published:2019-07 Issue:7 Volume:21 Page:891-897
ISSN:1365-182X
Container-title:HPB
language:en
Short-container-title:HPB

Author:

Fei Yang,Gao Kun,Li Wei-qin

Funder

Nanjing University Innovation and Creative Program

Publisher

Elsevier BV

Subject

Gastroenterology,Hepatology

Reference33 articles.

1. Prophylactic antibiotics alter the bacteriology of infected necrosis in severe acute pancreatitis;Howard;J Am Coll Surg,2002

2. Incidence and outcomes of acute lung injury;Rubenfeld;N Engl J Med,2005

3. Pancreatitis-associated acute lung injury: new insights;Pastor;Chest,2003

4. Risk factors for and impact of respiratory failure on mortality in the early phase of acute pancreatitis;Dombernowsky;Pancreatology,2016

5. Severe acute pancreatitis: gut barrier failure, systemic inflammatory response, acute lung injury, and the role of the mesenteric lymph;Landahl;Surg Infect,2015

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