Steven Horng
Steven Horng
Instructor of Emergency Medicine
Verified email at
TitleCited byYear
Learning a health knowledge graph from electronic medical records
M Rotmensch, Y Halpern, A Tlimat, S Horng, D Sontag
Scientific reports 7 (1), 1-11, 2017
Electronic medical record phenotyping using the anchor and learn framework
Y Halpern, S Horng, Y Choi, D Sontag
Journal of the American Medical Informatics Association 23 (4), 731-740, 2016
Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning
S Horng, DA Sontag, Y Halpern, Y Jernite, NI Shapiro, LA Nathanson
PloS one 12 (4), e0174708, 2017
Prospective pilot study of a tablet computer in an Emergency Department
S Horng, FR Goss, RS Chen, LA Nathanson
International journal of medical informatics 81 (5), 314-319, 2012
Using anchors to estimate clinical state without labeled data
Y Halpern, Y Choi, S Horng, D Sontag
AMIA Annual Symposium Proceedings 2014, 606, 2014
A comparison of dimensionality reduction techniques for unstructured clinical text
Y Halpern, S Horng, LA Nathanson, NI Shapiro, D Sontag
Icml 2012 workshop on clinical data analysis 6, 2012
MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports
AEW Johnson, TJ Pollard, SJ Berkowitz, NR Greenbaum, MP Lungren, ...
Scientific Data, 2019
Risk of Intracranial Hemorrhage in Ground‐level Fall With Antiplatelet or Anticoagulant Agents
M Ganetsky, G Lopez, T Coreanu, V Novack, S Horng, NI Shapiro, ...
Academic emergency medicine 24 (10), 1258-1266, 2017
Predicting chief complaints at triage time in the emergency department
Y Jernite, Y Halpern, S Horng, D Sontag
NIPS 2013 Workshop on Machine Learning for Clinical Data Analysis and Healthcare, 2013
Prospective evaluation of daily performance metrics to reduce emergency department length of stay for surgical consults
S Horng, L Pezzella, CD Tibbles, RE Wolfe, JM Hurst, LA Nathanson
The Journal of emergency medicine 44 (2), 519-525, 2013
A Model for Electronic Handoff Between the Emergency Department and Inpatient Units
LD Sanchez, DT Chiu, L Nathanson, S Horng, RE Wolfe, ML Zeidel, ...
The Journal of emergency medicine 53 (1), 142-150, 2017
Clinical tagging with joint probabilistic models
Y Halpern, S Horng, D Sontag
Machine Learning for Healthcare Conference, 209-225, 2016
Anchored Discrete Factor Analysis
Y Halpern, S Horng, D Sontag
arXiv preprint arXiv:1511.03299, 2015
Evaluating how electronic charting affects resident productivity
D Henning, S Horng, L Sanchez
Internal and emergency medicine 8 (2), 169-172, 2013
Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph
IY Chen, M Agrawal, S Horng, D Sontag
Pac Symp Biocomput 25, 19-30, 2020
Improving Documentation of Presenting Problems in the Emergency Department using a Domain-specific Ontology and Machine Learning-Driven User Interfaces
NR Greenbaum, Y Jernite, Y Halpern, S Calder, LA Nathanson, D Sontag, ...
International Journal of Medical Informatics, 103981, 2019
Turning the crank for machine learning: ease, at what expense?
TJ Pollard, I Chen, J Wiens, S Horng, D Wong, M Ghassemi, H Mattie, ...
The Lancet Digital Health 1 (5), 198-199, 2019
Mobile device ownership among emergency department patients
E Kim, J Torous, S Horng, AV Grossestreuer, J Rodriguez, T Lee, ...
International journal of medical informatics 126, 114-117, 2019
A rules based algorithm to generate problem lists using emergency department medication reconciliation
JW Joseph, DT Chiu, LA Nathanson, S Horng
International Journal of Medical Informatics 94, 117-122, 2016
Real-time Clinical Information Exchange between Ems and the Emergency Department
C Redfield, J Fisher, S Horng, D Schoenfeld, L Mottley, RE Wolfe, ...
Academic Emergency Medicine 20, S144, 2013
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