'Big data' approaches to trauma outcome prediction and autonomous resuscitation.
Massive clinical digital data routinely collected by high throughput biomedical devices provide opportunities and challenges for optimal use. This article discusses how such data are used in learning prediction models at level 1 trauma centres to support decision making in trauma patients.
Data Analyst, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA.
Shiming
S
Yang
Mary
M
Njoku
Colin F
CF
Mackenzie
D003661:Decision Support Techniques; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D007256:Information Systems / Q000458:organization & administration*; D010043:Outcome and Process Assessment, Health Care / Q000379:methods; D058996:Quality Improvement; D014193:Trauma Centers / Q000706:statistics & numerical data*