Published on in Vol 4, No 3 (2016): Jul-Sept

Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach

Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach

Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach

Thomas Desautels   1 , PhD ;   Jacob Calvert   1 , BS ;   Jana Hoffman   1 , PhD ;   Melissa Jay   1 , BS ;   Yaniv Kerem   2, 3 , MD ;   Lisa Shieh   4 , MD, PhD ;   David Shimabukuro   5 , MD ;   Uli Chettipally   6, 7 , MD, MPH ;   Mitchell D Feldman   8 , MD, MPhil ;   Chris Barton   7 , MD ;   David J Wales   9 , ScD ;   Ritankar Das   1 , MSc

1 Dascena, Inc, Hayward, CA, United States

2 Stanford University School of Medicine, Department of Clinical Informatics, Stanford, CA, United States

3 Kaiser Permanente Redwood City Medical Center, Department of Emergency Medicine, Redwood City, CA, United States

4 Stanford University School of Medicine, Department of Medicine, Stanford, CA, United States

5 Division of Critical Care Medicine, Department of Anesthesia and Perioperative Care, University of California San Francisco, San Francisco, CA, United States

6 Kaiser Permanente South San Francisco Medical Center, Department of Emergency Medicine, South San Francisco, CA, United States

7 Department of Emergency Medicine, University of California San Francisco, San Francisco, CA, United States

8 Division of General Internal Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, United States

9 Department of Chemistry, University of Cambridge, Cambridge, United Kingdom

Corresponding Author:

  • Jana Hoffman, PhD
  • Dascena, Inc
  • 1135 Martin Luther King Drive
  • Hayward, CA, 94541
  • United States
  • Phone: 1 (872) 228-5332
  • Fax: 1 (872) 228-5332
  • Email: jana@dascena.com