Literature DB >> 31965265

'No growth to date'? Predicting positive blood cultures in critical illness.

Vincent X Liu1, Jenna Wiens2.   

Abstract

Mesh：

Year:  2020        PMID： 31965265     DOI： 10.1007/s00134-019-05917-2

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN： 0342-4642            Impact factor:   17.440


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  9 in total

1.  The Timing of Early Antibiotics and Hospital Mortality in Sepsis.

Authors:  Vincent X Liu; Vikram Fielding-Singh; John D Greene; Jennifer M Baker; Theodore J Iwashyna; Jay Bhattacharya; Gabriel J Escobar
Journal:  Am J Respir Crit Care Med       Date:  2017-10-01       Impact factor: 21.405

2.  Big Data and Machine Learning in Health Care.

Authors:  Andrew L Beam; Isaac S Kohane
Journal:  JAMA       Date:  2018-04-03       Impact factor: 56.272

3.  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 4.  Emerging Technologies for Molecular Diagnosis of Sepsis.

Authors:  Mridu Sinha; Julietta Jupe; Hannah Mack; Todd P Coleman; Shelley M Lawrence; Stephanie I Fraley
Journal:  Clin Microbiol Rev       Date:  2018-02-28       Impact factor: 26.132

Review 5.  Bloodstream infection in the ICU.

Authors:  Jordi Vallés; Ricard Ferrer
Journal:  Infect Dis Clin North Am       Date:  2009-09       Impact factor: 5.982

6.  Machine Learning and Prediction in Medicine - Beyond the Peak of Inflated Expectations.

Authors:  Jonathan H Chen; Steven M Asch
Journal:  N Engl J Med       Date:  2017-06-29       Impact factor: 91.245

7.  Characteristics and determinants of outcome of hospital-acquired bloodstream infections in intensive care units: the EUROBACT International Cohort Study.

Authors:  Alexis Tabah; Despoina Koulenti; Kevin Laupland; Benoit Misset; Jordi Valles; Frederico Bruzzi de Carvalho; José Artur Paiva; Nahit Cakar; Xiaochun Ma; Philippe Eggimann; Massimo Antonelli; Marc J M Bonten; Akos Csomos; Wolfgang A Krueger; Adam Mikstacki; Jeffrey Lipman; Pieter Depuydt; Aurélien Vesin; Maité Garrouste-Orgeas; Jean-Ralph Zahar; Stijn Blot; Jean Carlet; Christian Brun-Buisson; Claude Martin; Jordi Rello; Georges Dimopoulos; Jean-François Timsit
Journal:  Intensive Care Med       Date:  2012-09-26       Impact factor: 17.440

8.  Predicting the Future - Big Data, Machine Learning, and Clinical Medicine.

Authors:  Ziad Obermeyer; Ezekiel J Emanuel
Journal:  N Engl J Med       Date:  2016-09-29       Impact factor: 91.245

9.  Nosocomial bloodstream infections in US hospitals: analysis of 24,179 cases from a prospective nationwide surveillance study.

Authors:  Hilmar Wisplinghoff; Tammy Bischoff; Sandra M Tallent; Harald Seifert; Richard P Wenzel; Michael B Edmond
Journal:  Clin Infect Dis       Date:  2004-07-15       Impact factor: 9.079
  9 in total
  1 in total

1.  Using machine learning to predict blood culture outcomes in the emergency department: a single-centre, retrospective, observational study.

Authors:  Anneroos W Boerman; Michiel Schinkel; Lotta Meijerink; Eva S van den Ende; Lara Ca Pladet; Martijn G Scholtemeijer; Joost Zeeuw; Anuschka Y van der Zaag; Tanca C Minderhoud; Paul W G Elbers; W Joost Wiersinga; Robert de Jonge; Mark Hh Kramer; Prabath W B Nanayakkara
Journal:  BMJ Open       Date:  2022-01-04       Impact factor: 2.692
  1 in total

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