Literature DB >> 31175494

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

Neil Sengupta1, David A Leiman2.   

Abstract

Mesh：

Year:  2019        PMID： 31175494     DOI： 10.1007/s10620-019-05698-0

Source DB:  PubMed          Journal:  Dig Dis Sci        ISSN： 0163-2116            Impact factor:   3.199


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  10 in total

1.  PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT.

Authors:  Khader Shameer; Kipp W Johnson; Alexandre Yahi; Riccardo Miotto; L I Li; Doran Ricks; Jebakumar Jebakaran; Patricia Kovatch; Partho P Sengupta; Sengupta Gelijns; Alan Moskovitz; Bruce Darrow; David L David; Andrew Kasarskis; Nicholas P Tatonetti; Sean Pinney; Joel T Dudley
Journal:  Pac Symp Biocomput       Date:  2017

2.  A Generalizable, Data-Driven Approach to Predict Daily Risk of Clostridium difficile Infection at Two Large Academic Health Centers.

Authors:  Jeeheh Oh; Maggie Makar; Christopher Fusco; Robert McCaffrey; Krishna Rao; Erin E Ryan; Laraine Washer; Lauren R West; Vincent B Young; John Guttag; David C Hooper; Erica S Shenoy; Jenna Wiens
Journal:  Infect Control Hosp Epidemiol       Date:  2018-04       Impact factor: 3.254

Review 3.  Burden and Cost of Gastrointestinal, Liver, and Pancreatic Diseases in the United States: Update 2018.

Authors:  Anne F Peery; Seth D Crockett; Caitlin C Murphy; Jennifer L Lund; Evan S Dellon; J Lucas Williams; Elizabeth T Jensen; Nicholas J Shaheen; Alfred S Barritt; Sarah R Lieber; Bharati Kochar; Edward L Barnes; Y Claire Fan; Virginia Pate; Joseph Galanko; Todd H Baron; Robert S Sandler
Journal:  Gastroenterology       Date:  2018-10-10       Impact factor: 22.682

4.  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

5.  Management of acute upper gastrointestinal bleeding.

Authors:  Adrian J Stanley; Loren Laine
Journal:  BMJ       Date:  2019-03-25

6.  Machine Learning to Predict Outcomes in Patients with Acute Gastrointestinal Bleeding: A Systematic Review.

Authors:  Dennis Shung; Michael Simonov; Mark Gentry; Benjamin Au; Loren Laine
Journal:  Dig Dis Sci       Date:  2019-05-04       Impact factor: 3.199

Review 7.  Machine Learning in Medicine.

Authors:  Rahul C Deo
Journal:  Circulation       Date:  2015-11-17       Impact factor: 29.690

8.  A targeted real-time early warning score (TREWScore) for septic shock.

Authors:  Katharine E Henry; David N Hager; Peter J Pronovost; Suchi Saria
Journal:  Sci Transl Med       Date:  2015-08-05       Impact factor: 17.956

Review 9.  High-performance medicine: the convergence of human and artificial intelligence.

Authors:  Eric J Topol
Journal:  Nat Med       Date:  2019-01-07       Impact factor: 53.440

10.  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
  10 in total
  2 in total

1.  The Impact of Artificial Intelligence in the Endoscopic Assessment of Premalignant and Malignant Esophageal Lesions: Present and Future.

Authors:  Daniela Cornelia Lazăr; Mihaela Flavia Avram; Alexandra Corina Faur; Adrian Goldiş; Ioan Romoşan; Sorina Tăban; Mărioara Cornianu
Journal:  Medicina (Kaunas)       Date:  2020-07-21       Impact factor: 2.430

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

Authors:  Hyun-Seok Kim; Frederick B Peng; Juan David Gomez Cifuentes
Journal:  Gastroenterology       Date:  2020-03-19       Impact factor: 22.682
  2 in total

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