Artificial neural network algorithm model as powerful tool to predict acute lung injury following to severe acute pancreatitis.

Journal: Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]

PMID: 30268673

Abstract

OBJECTIVE: The aim of this study is to predict the risk of severe acute pancreatitis (SAP) associated with acute lung injury (ALI) by artificial neural networks (ANNs) model.

Authors

Yang Fei

Surgical Intensive Care Unit (SICU), Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, No. 305 Zhongshan East Road, Nanjing 210002, China.
Kun Gao

a State Key Laboratory of Applied Organic Chemistry, College of Chemistry and Chemical Engineering , Lanzhou University , Lanzhou , People's Republic of China.
Wei-Qin Li

Surgical Intensive Care Unit (SICU), Department of General Surgery, Jinling Hospital, Medical School of Nanjing University, No. 305 Zhongshan East Road, Nanjing 210002, China. Electronic address: chamskuler@163.com.

Keywords

Acute Disease Acute Kidney Injury Adult Algorithms Area Under Curve Female Humans L-Lactate Dehydrogenase Logistic Models Machine Learning Male Middle Aged Neural Networks, Computer Oxyhemoglobins Pancreatitis Predictive Value of Tests Prognosis Risk Assessment ROC Curve Young Adult

External Resources

View on PubMed Access via DOI PubMed (30268673)

Artificial neural network algorithm model as powerful tool to predict acute lung injury following to severe acute pancreatitis.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals