Use of an Artificial Neural Network to Predict Persistent Organ Failure in Patients with Acute Pancreatitis

Overview

Journal Clinics (Sao Paulo)

Publisher Elsevier

Specialty General Medicine

Date 2013 Feb 20

PMID 23420153

Citations 12

Authors

Wan-Dong Hong

Xiang-rong Chen

Shu-Qing Jin

Qing-Ke Huang

Qi-huai Zhu

Jing-Ye Pan

Affiliations

Soon will be listed here.

Citing Articles

Advances in the clinical application of machine learning in acute pancreatitis: a review.

Tan Z, Li G, Zheng Y, Li Q, Cai W, Tu J Front Med (Lausanne). 2025; 11():1487271.

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Association between neutrophil to high-density lipoprotein cholesterol ratio and disease severity in patients with acute biliary pancreatitis.

Yang L, He C, Wang W Ann Med. 2024; 56(1):2315225.

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Fabp5 is a common gene between a high-cholesterol diet and acute pancreatitis.

Qiu M, Cai F, Huang Y, Sun L, Li J, Wang W Front Nutr. 2024; 10:1284985.

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Decreased HDL-C Levels as a Predictor of Organ Failure in Acute Pancreatitis in the Emergency Department.

Venegas-Tamayo A, Pena-Veites O, Hernandez-Gonzalez M, Barrientos-Alvarado C Life (Basel). 2023; 13(7).

PMID: 37511976 PMC: 10381343. DOI: 10.3390/life13071602.

Artificial intelligence in gastroenterology: A state-of-the-art review.

Kroner P, Engels M, Glicksberg B, Johnson K, Mzaik O, van Hooft J World J Gastroenterol. 2021; 27(40):6794-6824.

PMID: 34790008 PMC: 8567482. DOI: 10.3748/wjg.v27.i40.6794.

References

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