Katharine Henry
Katharine Henry
Postdoctoral Fellow in Computer Science, Johns Hopkins University
Verified email at jhu.edu
Title
Cited by
Cited by
Year
A targeted real-time early warning score (TREWScore) for septic shock
KE Henry, DN Hager, PJ Pronovost, S Saria
Science translational medicine 7 (299), 299ra122-299ra122, 2015
3522015
Fixed-dimensional acoustic embeddings of variable-length segments in low-resource settings
K Levin, K Henry, A Jansen, K Livescu
2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 410-415, 2013
982013
Domain adaptation in machine translation
M Carpuat, III Hal Daumé, A Fraser, C Quirk, F Braune, A Clifton, A Irvine, ...
2012 Johns Hopkins summer workshop final report, 61-72, 2012
132012
Sensespotting: Never let your parallel data tie you to an old domain
M Carpuat, H Daumé III, K Henry, A Irvine, J Jagarlamudi, R Rudinger
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
122013
Can Septic Shock Be Identified Early? Evaluating Performance Of A Targeted Real-Time Early Warning Score (trewscore) For Septic Shock In A Community Hospital: Global And …
K Henry, S Wongvibulsin, A Zhan, S Saria, D Hager
Am J Respir Crit Care Med 195, A7016, 2017
82017
Too many definitions of sepsis: can machine learning leverage the electronic health record to increase accuracy and bring consensus?
S Saria, KE Henry
Critical care medicine 48 (2), 137-141, 2020
72020
63: Rews: Real-time early warning score for septic shock
K Henry, C Paxton, KS Kim, J Pham, S Saria
Critical Care Medicine 42 (12), A1384, 2014
62014
Comparison of automated sepsis identification methods and electronic health record–based sepsis phenotyping: improving case identification accuracy by accounting for …
KE Henry, DN Hager, TM Osborn, AW Wu, S Saria
Critical care explorations 1 (10), 2019
42019
Automatic measurement of positive and negative voice onset time
K Henry, M Sonderegger, J Keshet
Thirteenth Annual Conference of the International Speech Communication …, 2012
42012
Quantifying and visualizing medication adherence in patients following acute myocardial infarction
J Wang, S Wongvibulsin, K Henry, S Fujita
AMIA Annual Symposium Proceedings 2017, 2299, 2017
32017
Early Identification Of Gastrointestinal Bleeding Requiring Critical Care Using Machine Learning
H Soleimani, K Henry, A Zhan, P Pronovost, N Rawat, D Hager, S Saria
Am J Respir Crit Care Med 195, A7145, 2017
12017
D15 CRITICAL CARE: DO WE HAVE A CRYSTAL BALL? PREDICTING CLINICAL DETERIORATION AND OUTCOME IN CRITICALLY ILL PATIENTS: Can Septic Shock Be Identified Early? Evaluating …
K Henry, S Wongvibulsin, A Zhan, S Saria, D Hager
American Journal of Respiratory and Critical Care Medicine 195, 2017
2017
D24 CRITICAL CARE: THE OTHER HALF OF THE ICU-UPDATE IN MANAGEMENT OF NON-PULMONARY CRITICAL CARE: Early Identification Of Gastrointestinal Bleeding Requiring Critical Care …
H Soleimani, K Henry, A Zhan, P Pronovost, N Rawat, D Hager, S Saria
American Journal of Respiratory and Critical Care Medicine 195, 2017
2017
Using Causal Inference to Estimate What-if Outcomes for Targeting Treatments
Q Liu, K Henry, Y Xu, S Saria
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