Literature DB >> 25864729

In response to "Development, implementation and impact of an automated early warning and response system for sepsis".

Craig A Umscheid1, Corey Chivers, Justin Bleich, Michael Draugelis.   

Abstract

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Year:  2015        PMID： 25864729      PMCID： PMC4412802          DOI： 10.1002/jhm.2362

Source DB:  PubMed          Journal:  J Hosp Med        ISSN： 1553-5592            Impact factor:   2.960


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  3 in total

1.  Big data meets the electronic medical record: a commentary on "identifying patients at increased risk for unplanned readmission".

Authors:  Greg de Lissovoy
Journal:  Med Care       Date:  2013-09       Impact factor: 2.983

2.  Development, implementation, and impact of an automated early warning and response system for sepsis.

Authors:  Craig A Umscheid; Joel Betesh; Christine VanZandbergen; Asaf Hanish; Gordon Tait; Mark E Mikkelsen; Benjamin French; Barry D Fuchs
Journal:  J Hosp Med       Date:  2014-09-26       Impact factor: 2.960

3.  In reference to "Development, implementation, and impact of an automated early warning and response system for sepsis".

Authors:  Poushali Bhattacharjee; Dana P Edelson
Journal:  J Hosp Med       Date:  2015-04-13       Impact factor: 2.960
  3 in total
  1 in total

1.  Machine learning for early detection of sepsis: an internal and temporal validation study.

Authors:  Armando D Bedoya; Joseph Futoma; Meredith E Clement; Kristin Corey; Nathan Brajer; Anthony Lin; Morgan G Simons; Michael Gao; Marshall Nichols; Suresh Balu; Katherine Heller; Mark Sendak; Cara O'Brien
Journal:  JAMIA Open       Date:  2020-04-11
  1 in total

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