Steven Horng

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Alistair JohnsonDirección de correo verificada de mit.edu
David SontagProfessor, Massachusetts Institute of TechnologyDirección de correo verificada de csail.mit.edu
Larry NathansonAssistant Professor of Emergency Medicine, Harvard Medical SchoolDirección de correo verificada de bidmc.harvard.edu
Yoni HalpernGoogleDirección de correo verificada de google.com
Nathan ShapiroBeth Israel Deaconess MEdical CenterDirección de correo verificada de bidmc.harvard.edu
Polina GollandMassachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Ruizhi (Ray) LiaoMassachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Yacine JerniteResearch Scientist, HuggingFaceDirección de correo verificada de cs.nyu.edu
Monica AgrawalAssistant Professor, DukeDirección de correo verificada de duke.edu
Jennifer P. Stevens, MDDirector, Center for Healthcare Delivery Science. Beth Israel Deaconess Medical CenterDirección de correo verificada de bidmc.harvard.edu
Ashley L. O'DonoghueHarvard Medical SchoolDirección de correo verificada de bidmc.harvard.edu
Irene Y. ChenAssistant Professor, UC Berkeley and UC San FranciscoDirección de correo verificada de berkeley.edu
David ChiuBeth Israel Deaconess Medical Center, Harvard Medical SchoolDirección de correo verificada de bidmc.harvard.edu
Carrie TibblesBeth Israel Deaconess Medical Center, Boston MADirección de correo verificada de hfchaiti.org
Richard E WolfeAssociate Professor, HarvardDirección de correo verificada de caregroup.org
Foster Goss, DO, MMSc, FACEPAssociate Professor, University of ColoradoDirección de correo verificada de ucdenver.edu
Leon D. SanchezBW Faulkner/Harvard Medical SchoolDirección de correo verificada de bwh.harvard.edu
Charles SafranProfessor of Medicine, Harvard Medical SchoolDirección de correo verificada de bidmc.harvard.edu
Jonathan RubinResearch Scientist, Amazon Alexa AIDirección de correo verificada de amazon.com
Michael Ganetsky, MDAssistant Professor of Emergency Medicine, Harvard Medical SchoolDirección de correo verificada de bidmc.harvard.edu

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Steven Horng

Clinical Lead for Machine Learning, Beth Israel Deaconess Medical Center

Dirección de correo verificada de bidmc.harvard.edu

Emergency Medicine Clinical Informatics Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	1818*	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	1744*	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	494	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	305	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	179	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	81	2019
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
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	72	2020
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	69	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	62	2020
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	61	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	58	2012
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	48	2021
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	48*	2019
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	46	2012
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	42	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	41	2021
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	39	2020
Mimic-iv. PhysioNet A Johnson, L Bulgarelli, T Pollard, S Horng, LA Celi, R Mark MIT, Cambridge, USA 23, 2021, 2020	37	2020
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	25	2013

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