Literature DB >> 32201181

Regarding: Shung et al: Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding.

Hyun-Seok Kim1, Frederick B Peng1, Juan David Gomez Cifuentes1.   

Abstract

Entities:  

Mesh：

Year:  2020        PMID： 32201181      PMCID： PMC8744139          DOI： 10.1053/j.gastro.2020.01.055

Source DB:  PubMed          Journal:  Gastroenterology        ISSN： 0016-5085            Impact factor:   22.682


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  7 in total

1.  Validation of computational methods in genomics.

Authors:  Edward R Doughtery; Hua Jianping; Michael L Bittner
Journal:  Curr Genomics       Date:  2007-03       Impact factor: 2.236

2.  Improving Acute GI Bleeding Management Through Artificial Intelligence: Unnatural Selection?

Authors:  Neil Sengupta; David A Leiman
Journal:  Dig Dis Sci       Date:  2019-08       Impact factor: 3.199

3.  Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding.

Authors:  Dennis L Shung; Benjamin Au; Richard Andrew Taylor; J Kenneth Tay; Stig B Laursen; Adrian J Stanley; Harry R Dalton; Jeffrey Ngu; Michael Schultz; Loren Laine
Journal:  Gastroenterology       Date:  2019-09-25       Impact factor: 22.682

Review 4.  Application of Artificial Intelligence to Gastroenterology and Hepatology.

Authors:  Catherine Le Berre; William J Sandborn; Sabeur Aridhi; Marie-Dominique Devignes; Laure Fournier; Malika Smaïl-Tabbone; Silvio Danese; Laurent Peyrin-Biroulet
Journal:  Gastroenterology       Date:  2019-10-05       Impact factor: 22.682

5.  A risk score to predict need for treatment for upper-gastrointestinal haemorrhage.

Authors:  O Blatchford; W R Murray; M Blatchford
Journal:  Lancet       Date:  2000-10-14       Impact factor: 79.321

6.  Risk scoring systems to predict need for clinical intervention for patients with nonvariceal upper gastrointestinal tract bleeding.

Authors:  I-Chuan Chen; Ming-Szu Hung; Te-Fa Chiu; Jih-Chang Chen; Cheng-Ting Hsiao
Journal:  Am J Emerg Med       Date:  2007-09       Impact factor: 2.469

7.  Glasgow Blatchford Score of limited benefit for low-risk urban patients: a mixed methods study.

Authors:  David A Leiman; Angela M Mills; Frances S Shofer; Andrew T Weber; Erin R Leiman; Brian P Riff; James D Lewis; Shivan J Mehta
Journal:  Endosc Int Open       Date:  2017-09-29
  7 in total

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