Steven Horng

Cited by

	All	Since 2016
Citations	834	771
h-index	11	11
i10-index	13	12

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20122013201420152016201720182019202020214 12 17 24 42 53 110 160 391 9

Co-authors

Larry NathansonAssistant Professor of Emergency Medicine, Harvard Medical SchoolVerified email at bidmc.harvard.edu
David SontagAssociate Professor, Massachusetts Institute of TechnologyVerified email at csail.mit.edu
Yoni HalpernGoogleVerified email at google.com
Nathan ShapiroBeth Israel Deaconess MEdical CenterVerified email at bidmc.harvard.edu
Alistair JohnsonMassachusetts Institute of TechnologyVerified email at mit.edu
Yacine JerniteResearch Scientist, HuggingFaceVerified email at cs.nyu.edu
David ChiuBeth Israel Deaconess Medical Center, Harvard Medical SchoolVerified email at bidmc.harvard.edu
Richard E WolfeAssociate Professor, HarvardVerified email at caregroup.org
Carrie TibblesBeth Israel Deaconess Medical Center, Boston MAVerified email at hfchaiti.org
Leon D. SanchezBW Faulkner/Harvard Medical SchoolVerified email at bwh.harvard.edu
Foster Goss, DO, MMSc, FACEPAssociate Professor, University of ColoradoVerified email at ucdenver.edu
Joshua W JosephAssistant Professor of Emergency Medicine, Harvard University, Beth Israel Deaconess Medical CenterVerified email at bidmc.harvard.edu
Polina GollandMassachusetts Institute of TechnologyVerified email at mit.edu
Irene Y. ChenPhD Student, MITVerified email at mit.edu
Ruizhi LiaoPhD student, MITVerified email at mit.edu
Jennifer P. Stevens, MDDirector, Center for Healthcare Delivery Science, Beth Israel Deaconess Medical CenterVerified email at bidmc.harvard.edu
Michael Ganetsky, MDAssistant Professor of Emergency Medicine, Harvard Medical SchoolVerified email at bidmc.harvard.edu
Victor Novack MD PhD, Professor of M...Head, Research Authority, Soroka University Medical Center and Ben-Gurion University of the NegevVerified email at clalit.org.il
David Alan SchoenfeldProfessor of MedicineVerified email at partners.org
Ashley L. O'Donoghue, PhDCenter for Healthcare Delivery Science, Beth Israel Deaconess Medical CenterVerified email at bidmc.harvard.edu

Steven Horng

Instructor of Emergency Medicine

Verified email at bidmc.harvard.edu

Emergency Medicine Clinical Informatics Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	150	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	148*	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	123	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	109	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	51	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	48	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	36	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	31	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	19	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	12	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	11*	2019
Clinical tagging with joint probabilistic models Y Halpern, S Horng, D Sontag Machine Learning for Healthcare Conference, 209-225, 2016	11	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	11	2013
Anchored Discrete Factor Analysis Y Halpern, S Horng, D Sontag arXiv preprint arXiv:1511.03299, 2015	8	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	7	2020
Evaluating how electronic charting affects resident productivity D Henning, S Horng, L Sanchez Internal and emergency medicine 8 (2), 169-172, 2013	7	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	6	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	5	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	4	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	4*	2019

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