|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
|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
|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
|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
|Using anchors to estimate clinical state without labeled data|
Y Halpern, Y Choi, S Horng, D Sontag
AMIA Annual Symposium Proceedings 2014, 606, 2014
|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
|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
|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
|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
|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
|Clinical tagging with joint probabilistic models|
Y Halpern, S Horng, D Sontag
Machine Learning for Healthcare Conference, 209-225, 2016
|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
|Anchored Discrete Factor Analysis|
Y Halpern, S Horng, D Sontag
arXiv preprint arXiv:1511.03299, 2015
|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
|Evaluating how electronic charting affects resident productivity|
D Henning, S Horng, L Sanchez
Internal and emergency medicine 8 (2), 169-172, 2013
|Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images|
R Liao, J Rubin, G Lam, S Berkowitz, S Dalal, W Wells, S Horng, ...
arXiv preprint arXiv:1902.10785, 2019
|Consensus Development of a Modern Ontology of Emergency Department Presenting Problems—The Hierarchical Presenting Problem Ontology (HaPPy)|
S Horng, NR Greenbaum, LA Nathanson, JC McClay, FR Goss, ...
Applied clinical informatics 10 (03), 409-420, 2019
|Predicting Intensive Care Unit admission among patients presenting to the emergency department using machine learning and natural language processing|
M Fernandes, R Mendes, SM Vieira, F Leite, C Palos, A Johnson, ...
PloS one 15 (3), e0229331, 2020
|Derivation and validation of a machine learning record linkage algorithm between emergency medical services and the emergency department|
C Redfield, A Tlimat, Y Halpern, DW Schoenfeld, E Ullman, DA Sontag, ...
Journal of the American Medical Informatics Association, 2019