Improving Acute GI Bleeding Management Through Artificial Intelligence: Unnatural Selection?
Author:
Publisher
Springer Science and Business Media LLC
Subject
Gastroenterology,Physiology
Link
http://link.springer.com/content/pdf/10.1007/s10620-019-05698-0.pdf
Reference10 articles.
1. Peery AF, Crockett SD, Murphy CC, et al. Burden and cost of gastrointestinal, liver, and pancreatic diseases in the united states: update 2018. Gastroenterology. 2019;156:254–272 e11.
2. Blatchford O, Murray WR, Blatchford M. A risk score to predict need for treatment for upper-gastrointestinal haemorrhage. Lancet. 2000;356:1318–1321.
3. Leiman DA, Mills AM, Shofer FS, et al. Glasgow blatchford score of limited benefit for low-risk urban patients: a mixed methods study. Endosc Int Open. 2017;5:E950–E958.
4. Stanley AJ, Laine L. Management of acute upper gastrointestinal bleeding. BMJ. 2019;364:l536.
5. Deo RC. Machine learning in medicine. Circulation. 2015;132:1920–1930.
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