Sentiment in nursing notes as an indicator of out-of-hospital mortality in intensive care patients.

Journal: PloS one
Published Date: Jan 1, 2018

Abstract

BACKGROUND: Nursing notes have not been widely used in prediction models for clinical outcomes, despite containing rich information. Advances in natural language processing have made it possible to extract information from large scale unstructured data like nursing notes. This study extracted the sentiment-impressions and attitudes-of nurses, and examined how sentiment relates to 30-day mortality and survival.

Authors

  • Ian E R Waudby-Smith
    Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada.
  • Nam Tran
    Division of Reproductive Endocrinology and Infertility, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, California.
  • Joel A Dubin
    Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada.
  • Joon Lee
    Health Data Science Lab, School of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada.

Keywords

External Resources

Popular Topics
Recent Journals