A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications

Lisiane Pruinelli, Pranjul Yadav, Andrew Hangsleben, Jakob Johnson, Sanjoy Dey, Maribet McCarty, Vipin Kumar, Connie W Delaney, Michael S Steinbach, Bonnie L Westra, Gyorgy Simon

Research output: Contribution to journalArticle

Original languageEnglish (US)
Pages (from-to)194-202
JournalAMIA Joint Summits on Translational Science proceedings AMIA Summit on Translational Science
Volume20
StatePublished - 2016

Cite this

A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications. / Pruinelli, Lisiane; Yadav, Pranjul; Hangsleben, Andrew; Johnson, Jakob; Dey, Sanjoy; McCarty, Maribet; Kumar, Vipin; Delaney, Connie W; Steinbach, Michael S; Westra, Bonnie L; Simon, Gyorgy.

In: AMIA Joint Summits on Translational Science proceedings AMIA Summit on Translational Science, Vol. 20, 2016, p. 194-202.

Research output: Contribution to journalArticle

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year = "2016",
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AU - Pruinelli, Lisiane

AU - Yadav, Pranjul

AU - Hangsleben, Andrew

AU - Johnson, Jakob

AU - Dey, Sanjoy

AU - McCarty, Maribet

AU - Kumar, Vipin

AU - Delaney, Connie W

AU - Steinbach, Michael S

AU - Westra, Bonnie L

AU - Simon, Gyorgy

PY - 2016

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JO - AMIA Joint Summits on Translational Science proceedings AMIA Summit on Translational Science

JF - AMIA Joint Summits on Translational Science proceedings AMIA Summit on Translational Science

SN - 2153-4063

ER -