Steven Horng

According to our database, Steven Horng authored at least 31 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing.

Sharon Jiang, Barbara D. Lam, Monica Agrawal, Shannon Shen, Nicholas Kurtzman, Steven Horng, David R. Karger, David A. Sontag

J. Am. Medical Informatics Assoc., 2024

2023

Bidirectional Captioning for Clinically Accurate and Interpretable Models.

Keegan Quigley, Miriam Cha, Josh Barua, Geeticka Chauhan, Seth J. Berkowitz, Steven Horng, Polina Golland

CoRR, 2023

Sample-Specific Debiasing for Better Image-Text Models.

Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland

Proceedings of the Machine Learning for Healthcare Conference, 2023

Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes.

Sharon Jiang, Shannon Shen, Monica Agrawal, Barbara D. Lam, Nicholas Kurtzman, Steven Horng, David R. Karger, David A. Sontag

Proceedings of the Machine Learning for Healthcare Conference, 2023

Using Multiple Instance Learning to Build Multimodal Representations.

Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2023

Characterizing the Progression of Pulmonary Edema Severity: Can Pairwise Comparisons in Radiology Reports Help?

Stephanie M. Hu, Steven Horng, Seth J. Berkowitz, Ruizhi Liao, Rahul G. Krishnan, Li-Wei H. Lehman, Roger G. Mark

Proceedings of the Computing in Cardiology, 2023

2022

RadTex: Learning Efficient Radiograph Representations from Text Reports.

Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland

Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

2021

A visual representation of microbiological culture data improves comprehension: a randomized controlled trial.

Eugene Y. Kim, Anne V. Grossestreuer, Charles Safran, Larry A. Nathanson, Steven Horng

J. Am. Medical Informatics Assoc., 2021

MedKnowts: Unified Documentation and Information Retrieval for Electronic Health Records.

Luke S. Murray, Divya Gopinath, Monica Agrawal, Steven Horng, David A. Sontag, David R. Karger

Proceedings of the UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology, 2021

Image Classification with Consistent Supporting Evidence.

Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland

Proceedings of the Machine Learning for Health, 2021

Multimodal Representation Learning via Maximization of Local Mutual Information.

Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Derivation and validation of a machine learning record linkage algorithm between emergency medical services and the emergency department.

Colby Redfield, Abdulhakim Tlimat, Yoni Halpern, David W. Schoenfeld, Edward Ullman, David A. Sontag, Larry A. Nathanson, Steven Horng

J. Am. Medical Informatics Assoc., 2020

Secondary Use of Employee COVID-19 Symptom Reporting as Syndromic Surveillance as an Early Warning Signal of Future Hospitalizations.

Steven Horng, Ashley O'Donoghue, Tenzin Dechen, Matthew Rabesa, Ayad Shammout, Lawrence Markson, Venkat Jegadeesan, Manu Tandon, Jennifer P. Stevens

CoRR, 2020

Deep Learning to Quantify Pulmonary Edema in Chest Radiographs.

Steven Horng, Ruizhi Liao, Xin Wang, Sandeep Dalal, Polina Golland, Seth J. Berkowitz

CoRR, 2020

Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health KnowledgeGraph.

Irene Y. Chen, Monica Agrawal, Steven Horng, David A. Sontag

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

Fast, Structured Clinical Documentation via Contextual Autocomplete.

Divya Gopinath, Monica Agrawal, Luke S. Murray, Steven Horng, David R. Karger, David A. Sontag

Proceedings of the Machine Learning for Healthcare Conference, 2020

Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment.

Geeticka Chauhan, Ruizhi Liao, William M. Wells III, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Mobile device ownership among emergency department patients.

Eugene Y. Kim, John Torous, Steven Horng, Anne V. Grossestreuer, Jorge Rodriguez, Terrance Lee, Larry A. Nathanson

Int. J. Medical Informatics, 2019

Improving documentation of presenting problems in the emergency department using a domain-specific ontology and machine learning-driven user interfaces.

Nathaniel R. Greenbaum, Yacine Jernite, Yoni Halpern, Shelley Calder, Larry A. Nathanson, David A. Sontag, Steven Horng

Int. J. Medical Informatics, 2019

Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph.

Irene Y. Chen, Monica Agrawal, Steven Horng, David A. Sontag

CoRR, 2019

Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images.

Ruizhi Liao, Jonathan Rubin, Grace Lam, Seth J. Berkowitz, Sandeep Dalal, William M. Wells III, Steven Horng, Polina Golland

CoRR, 2019

MIMIC-CXR: A large publicly available database of labeled chest radiographs.

Alistair E. W. Johnson, Tom J. Pollard, Seth J. Berkowitz, Nathaniel R. Greenbaum, Matthew P. Lungren, Chih-ying Deng, Roger G. Mark, Steven Horng

CoRR, 2019

Consensus Development of a Modern Ontology of Emergency Department Presenting Problems - The Hierarchical Presenting Problem Ontology (HaPPy).

Steven Horng, Nathaniel R. Greenbaum, Larry A. Nathanson, James C. McClay, Foster R. Goss, Jeffrey A. Nielson

Appl. Clin. Inform., 2019

2017

Antimicrobial Susceptibility Data Visualization Tool.

Eugene Y. Kim, Larry A. Nathanson, Evan L. Leventhal, Steven Horng

Proceedings of the AMIA 2017, 2017

2016

Electronic medical record phenotyping using the anchor and learn framework.

Yoni Halpern, Steven Horng, Youngduck Choi, David A. Sontag

J. Am. Medical Informatics Assoc., 2016

A rules based algorithm to generate problem lists using emergency department medication reconciliation.

Joshua W. Joseph, David T. Chiu, Larry A. Nathanson, Steven Horng

Int. J. Medical Informatics, 2016

Clinical Tagging with Joint Probabilistic Models.

Yoni Halpern, Steven Horng, David A. Sontag

Proceedings of the 1st Machine Learning in Health Care, 2016

2015

Anchored Discrete Factor Analysis.

Yoni Halpern, Steven Horng, David A. Sontag

CoRR, 2015

2014

Generating Problem Lists Using Medication Reconciliation.

Joshua W. Joseph, David T. Chiu, Larry A. Nathanson, Steven Horng

Proceedings of the AMIA 2014, 2014

Using Anchors to Estimate Clinical State without Labeled Data.

Yoni Halpern, Youngduck Choi, Steven Horng, David A. Sontag

Proceedings of the AMIA 2014, 2014

2012

Prospective pilot study of a tablet computer in an Emergency Department.

Steven Horng, Foster R. Goss, Richard S. Chen, Larry A. Nathanson

Int. J. Medical Informatics, 2012