‘Big data’ approaches to trauma outcome prediction and autonomous resuscitation-Reference-Cited by-同舟云学术

‘Big data’ approaches to trauma outcome prediction and autonomous resuscitation

Published:2014-11-02 Issue:11 Volume:75 Page:637-641
ISSN:1750-8460
Container-title:British Journal of Hospital Medicine
language:en
Short-container-title:British Journal of Hospital Medicine

Author:

Yang Shiming¹,Njoku Mary²,Mackenzie Colin F³

Affiliation:

1. Data Analyst, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA

2. Associate Professor of Anesthesiology, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA

3. Professor of Anesthesiology in the Shock Trauma Anesthesiology Research Center and Department of Anesthesiology, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA

Publisher

Mark Allen Group

Subject

General Medicine

Link

http://www.magonlinelibrary.com/doi/pdf/10.12968/hmed.2014.75.11.637

Reference23 articles.

1. Bishop CM (2006) Pattern Recognition and Machine Learning. Springer, New York

2. Statistics for High-Dimensional Data

3. Isolated Severe Traumatic Brain Injuries Sustained During Combat Operations: Demographics, Mortality Outcomes, and Lessons to be Learned From Contrasts to Civilian Counterparts

4. Forward Surgical Teams Provide Comparable Outcomes to Combat Support Hospitals During Support and Stabilization Operations on the Battlefield

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