Multi-tier ground truth elicitation framework with application to artifact classification for predicting patient instability - Robotics Institute Carnegie Mellon University

Multi-tier ground truth elicitation framework with application to artifact classification for predicting patient instability

Donghan Wang, Lujie Chen, Madalina Fiterau, Artur Dubrawski, Marilyn Hravnak, Eliezer Bose, David Wallace, Murat Kaynar, Gilles Clermont, and Michael R. Pinsky
Journal Article, Intensive Care Medicine, Vol. 40, No. 1, pp. 289, September, 2014

BibTeX

@article{Wang-2014-121711,
author = {Donghan Wang and Lujie Chen and Madalina Fiterau and Artur Dubrawski and Marilyn Hravnak and Eliezer Bose and David Wallace and Murat Kaynar and Gilles Clermont and Michael R. Pinsky},
title = {Multi-tier ground truth elicitation framework with application to artifact classification for predicting patient instability},
journal = {Intensive Care Medicine},
year = {2014},
month = {September},
volume = {40},
number = {1},
pages = {289},
}
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