Literature DB >> 32123991

Imagine…(a common language for ICU data inquiry and analysis).

Lewis J Kaplan1,2, Maurizio Cecconi3,4, Heatherlee Bailey5,6, Jozef Kesecioglu4,7.   

Abstract

Mesh：

Year:  2020        PMID： 32123991     DOI： 10.1007/s00134-019-05895-5

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


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  10 in total

1.  Machine Learning and the Profession of Medicine.

Authors:  Alison M Darcy; Alan K Louie; Laura Weiss Roberts
Journal:  JAMA       Date:  2016-02-09       Impact factor: 56.272

2.  What makes an EHR "open" or interoperable?

Authors:  Dean F Sittig; Adam Wright
Journal:  J Am Med Inform Assoc       Date:  2015-06-15       Impact factor: 4.497

3.  An in silico approach helped to identify the best experimental design, population, and outcome for future randomized clinical trials.

Authors:  Agathe Bajard; Sylvie Chabaud; Catherine Cornu; Anne-Charlotte Castellan; Salma Malik; Polina Kurbatova; Vitaly Volpert; Nathalie Eymard; Behrouz Kassai; Patrice Nony
Journal:  J Clin Epidemiol       Date:  2015-07-15       Impact factor: 6.437

Review 4.  A review on machine learning principles for multi-view biological data integration.

Authors:  Yifeng Li; Fang-Xiang Wu; Alioune Ngom
Journal:  Brief Bioinform       Date:  2018-03-01       Impact factor: 11.622

5.  The Surviving Sepsis Campaign Bundle: 2018 Update.

Authors:  Mitchell M Levy; Laura E Evans; Andrew Rhodes
Journal:  Crit Care Med       Date:  2018-06       Impact factor: 7.598

6.  Factors associated with delayed activation of medical emergency team and excess mortality: an Utstein-style analysis.

Authors:  Joonas Tirkkonen; Jari Ylä-Mattila; Klaus T Olkkola; Heini Huhtala; Jyrki Tenhunen; Sanna Hoppu
Journal:  Resuscitation       Date:  2012-09-23       Impact factor: 5.262

7.  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

8.  Establishing a continuum of acute kidney injury - tracing AKI using data source linkage and long-term follow-up: Workgroup Statements from the 15th ADQI Consensus Conference.

Authors:  Ravindra Mehta; Azra Bihorac; Nicholas M Selby; Hude Quan; Stuart L Goldstein; John A Kellum; Claudio Ronco; Sean M Bagshaw
Journal:  Can J Kidney Health Dis       Date:  2016-02-26

9.  Machine Learning and Decision Support in Critical Care.

Authors:  Alistair E W Johnson; Mohammad M Ghassemi; Shamim Nemati; Katherine E Niehaus; David A Clifton; Gari D Clifford
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2016-01-25       Impact factor: 10.961

10.  "Usability of data integration and visualization software for multidisciplinary pediatric intensive care: a human factors approach to assessing technology".

Authors:  Ying Ling Lin; Anne-Marie Guerguerian; Jessica Tomasi; Peter Laussen; Patricia Trbovich
Journal:  BMC Med Inform Decis Mak       Date:  2017-08-14       Impact factor: 2.796
  10 in total

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