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Steven Horng
Steven Horng
Clinical Lead for Machine Learning, Beth Israel Deaconess Medical Center
Verified email at bidmc.harvard.edu
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
1419*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
1121*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
4482017
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
2852017
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
1692016
Using anchors to estimate clinical state without labeled data
Y Halpern, Y Choi, S Horng, D Sontag
AMIA Annual Symposium Proceedings 2014, 606, 2014
772014
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
622020
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
572020
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
572020
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
572017
MIMIC-CXR-JPG-chest radiographs with structured labels
A Johnson, M Lungren, Y Peng, Z Lu, R Mark, S Berkowitz, S Horng
PhysioNet, 2019
562019
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
562012
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
45*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
452012
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
432021
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
392021
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
352020
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
282021
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
232013
Fast, Structured Clinical Documentation via Contextual Autocomplete
D Gopinath, M Agrawal, L Murray, S Horng, D Karger, D Sontag
Machine Learning for Healthcare Conference, 842-870, 2020
222020
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