Steven Horng

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Larry NathansonAssistant Professor of Emergency Medicine, Harvard Medical SchoolVerified email at bidmc.harvard.edu
David SontagProfessor, Massachusetts Institute of TechnologyVerified email at csail.mit.edu
Alistair JohnsonVerified email at mit.edu
Yoni HalpernGoogleVerified email at google.com
Nathan ShapiroBeth Israel Deaconess MEdical CenterVerified email at bidmc.harvard.edu
Polina GollandMassachusetts Institute of TechnologyVerified email at mit.edu
Ruizhi (Ray) LiaoMassachusetts Institute of TechnologyVerified email at mit.edu
Yacine JerniteResearch Scientist, HuggingFaceVerified email at cs.nyu.edu
Monica AgrawalAssistant Professor, DukeVerified email at duke.edu
David ChiuBeth Israel Deaconess Medical Center, Harvard Medical SchoolVerified email at bidmc.harvard.edu
Jennifer P. Stevens, MDDirector, Center for Healthcare Delivery Science. Beth Israel Deaconess Medical CenterVerified email at bidmc.harvard.edu
Ashley L. O'DonoghueHarvard 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
Irene Y. ChenAssistant Professor, UC Berkeley and UC San FranciscoVerified email at berkeley.edu
Leon D. SanchezBW Faulkner/Harvard Medical SchoolVerified email at bwh.harvard.edu
Joshua W JosephAssociate Professor of Emergency Medicine, Harvard University, Brigham and Women's HospitalVerified email at partners.org
Foster Goss, DO, MMSc, FACEPAssociate Professor, University of ColoradoVerified email at ucdenver.edu
Charles SafranProfessor of Medicine, Harvard Medical SchoolVerified email at bidmc.harvard.edu
Jonathan RubinResearch Scientist, Amazon Alexa AIVerified email at amazon.com

Steven Horng

Clinical Lead for Machine Learning, Beth Israel Deaconess Medical Center

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
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	2106*	2019
MIMIC-IV, a freely accessible electronic health record dataset AEW Johnson, L Bulgarelli, L Shen, A Gayles, A Shammout, S Horng, ... Scientific data 10 (1), 1, 2023	1801*	2023
Learning a health knowledge graph from electronic medical records M Rotmensch, Y Halpern, A Tlimat, S Horng, D Sontag Scientific reports 7 (1), 5994, 2017	518	2017
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	319	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	180	2016
MIMIC-CXR-JPG-chest radiographs with structured labels A Johnson, M Lungren, Y Peng, Z Lu, R Mark, S Berkowitz, S Horng PhysioNet, 2019	93	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	78	2020
Using anchors to estimate clinical state without labeled data Y Halpern, Y Choi, S Horng, D Sontag AMIA Annual Symposium Proceedings 2014, 606, 2014	77	2014
Joint modeling of chest radiographs and radiology reports for pulmonary edema assessment G Chauhan, R Liao, W Wells, J Andreas, X Wang, S Berkowitz, S Horng, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020	75	2020
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	66	2020
Mimic-cxr database A Johnson, T Pollard, R Mark, S Berkowitz, S Horng PhysioNet10 13026, C2JT1Q, 0	65*
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	63	2017
Multimodal representation learning via maximization of local mutual information R Liao, D Moyer, M Cha, K Quigley, S Berkowitz, S Horng, P Golland, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021	58	2021
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	58	2012
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	54*	2019
Deep learning to quantify pulmonary edema in chest radiographs S Horng, R Liao, X Wang, S Dalal, P Golland, SJ Berkowitz Radiology: Artificial Intelligence 3 (2), e190228, 2021	47	2021
Development and validation of a pancreatic cancer risk model for the general population using electronic health records: An observational study L Appelbaum, JP Cambronero, JP Stevens, S Horng, K Pollick, G Silva, ... European Journal of Cancer 143, 19-30, 2021	47	2021
Mimic-iv-ecg-diagnostic electrocardiogram matched subset B Gow, T Pollard, LA Nathanson, A Johnson, B Moody, C Fernandes, ... Type: dataset, 2023	46	2023
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	45	2012
Risk of mortality and cardiopulmonary arrest in critical 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 (4), e0230876, 2020	44	2020

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