Crowd intelligence for the classification of fractures and beyond.
BACKGROUND: Medical diagnosis, like all products of human cognition, is subject to error. We tested the hypothesis that errors of diagnosis in the realm of fracture classification can be reduced by a consensus (group) diagnosis; and that digital imaging and Internet access makes feasible the compila...
Main Authors: | Joseph Bernstein, Joy S Long, Christian Veillette, Jaimo Ahn |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2011-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC3223187?pdf=render |
Similar Items
-
The prevalence and cost of medical student visiting rotations
by: Matthew Winterton, et al.
Published: (2016-11-01) -
Applying Evidence-based Medicine Principles to Fracture Management
by: Joseph eBernstein, et al.
Published: (2014-10-01) -
Crowd-powered systems
by: Bernstein, Michael Scott
Published: (2012) -
Crowd Control with Swarm Intelligence
by: Ying-Yin Lin, et al.
Published: (2007) -
Tracking and Trajectory Classification in Crowd
by: Wei-Hsin Kan, et al.
Published: (2010)