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

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 journal › Article › peer-review

Original language	English (US)
Pages (from-to)	194-202
Journal	AMIA Joint Summits on Translational Science proceedings AMIA Summit on Translational Science
Volume	20
State	Published - 2016

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title = "A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications",

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

year = "2016",

language = "English (US)",

volume = "20",

pages = "194--202",

journal = "AMIA Joint Summits on Translational Science proceedings AMIA Summit on Translational Science",

issn = "2153-4063",

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T1 - A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications

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

Y1 - 2016

M3 - Article

SN - 2153-4063

VL - 20

SP - 194

EP - 202

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

ER -