Steven Horng

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 38

Top Topics

Pairwise Comparisons

Chest Radiographs

Emergency Department

Top Venues

J. Am. Medical Informatics Assoc.

Int. J. Medical Informatics

Publications

Sharon Jiang, Barbara D. Lam, Monica Agrawal, Shannon Shen, Nicholas Kurtzman, Steven Horng, David R. Karger, David A. Sontag
Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing. J. Am. Medical Informatics Assoc. 31 (7) (2024)
Keegan Quigley, Miriam Cha, Josh Barua, Geeticka Chauhan, Seth J. Berkowitz, Steven Horng, Polina Golland
Bidirectional Captioning for Clinically Accurate and Interpretable Models. CoRR (2023)
Sharon Jiang, Shannon Shen, Monica Agrawal, Barbara Lam, Nicholas Kurtzman, Steven Horng, David R. Karger, David A. Sontag
Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes. MLHC (2023)
Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
Sample-Specific Debiasing for Better Image-Text Models. CoRR (2023)
Sharon Jiang, Shannon Shen, Monica Agrawal, Barbara Lam, Nicholas Kurtzman, Steven Horng, David R. Karger, David A. Sontag
Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes. CoRR (2023)
Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
Using Multiple Instance Learning to Build Multimodal Representations. IPMI (2023)
Stephanie M. Hu, Steven Horng, Seth J. Berkowitz, Ruizhi Liao, Rahul G. Krishnan, Li-Wei H. Lehman, Roger G. Mark
Characterizing the Progression of Pulmonary Edema Severity: Can Pairwise Comparisons in Radiology Reports Help? CinC (2023)
Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
Sample-Specific Debiasing for Better Image-Text Models. MLHC (2023)
Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland
RadTex: Learning Efficient Radiograph Representations from Text Reports. REMIA@MICCAI (2022)
Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland
Using Multiple Instance Learning to Build Multimodal Representations. CoRR (2022)
Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland
RadTex: Learning Efficient Radiograph Representations from Text Reports. CoRR (2022)
Luke S. Murray, Divya Gopinath, Monica Agrawal, Steven Horng, David A. Sontag, David R. Karger
MedKnowts: Unified Documentation and Information Retrieval for Electronic Health Records. UIST (2021)
Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III
Multimodal Representation Learning via Maximization of Local Mutual Information. MICCAI (2) (2021)
Eugene Y. Kim, Anne V. Grossestreuer, Charles Safran, Larry A. Nathanson, Steven Horng
A visual representation of microbiological culture data improves comprehension: a randomized controlled trial. J. Am. Medical Informatics Assoc. 28 (9) (2021)
Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III
Multimodal Representation Learning via Maximization of Local Mutual Information. CoRR (2021)
Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland
Image Classification with Consistent Supporting Evidence. ML4H@NeurIPS (2021)
Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland
Image Classification with Consistent Supporting Evidence. CoRR (2021)
Luke S. Murray, Divya Gopinath, Monica Agrawal, Steven Horng, David A. Sontag, David R. Karger
MedKnowts: Unified Documentation and Information Retrieval for Electronic Health Records. CoRR (2021)
Geeticka Chauhan, Ruizhi Liao, William Wells, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. MICCAI (2) (2020)
Divya Gopinath, Monica Agrawal, Luke S. Murray, Steven Horng, David R. Karger, David A. Sontag
Fast, Structured Clinical Documentation via Contextual Autocomplete. CoRR (2020)
Steven Horng, Ashley O'Donoghue, Tenzin Dechen, Matthew Rabesa, Ayad Shammout, Lawrence Markson, Venkat Jegadeesan, Manu Tandon, Jennifer P. Stevens
Secondary Use of Employee COVID-19 Symptom Reporting as Syndromic Surveillance as an Early Warning Signal of Future Hospitalizations. CoRR (2020)
Colby Redfield, Abdulhakim Tlimat, Yoni Halpern, David W. Schoenfeld, Edward Ullman, David A. Sontag, Larry A. Nathanson, Steven Horng
Derivation and validation of a machine learning record linkage algorithm between emergency medical services and the emergency department. J. Am. Medical Informatics Assoc. 27 (1) (2020)
Irene Y. Chen, Monica Agrawal, Steven Horng, David A. Sontag
Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health KnowledgeGraph. PSB (2020)
Steven Horng, Ruizhi Liao, Xin Wang, Sandeep Dalal, Polina Golland, Seth J. Berkowitz
Deep Learning to Quantify Pulmonary Edema in Chest Radiographs. CoRR (2020)
Geeticka Chauhan, Ruizhi Liao, William Wells, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. CoRR (2020)
Divya Gopinath, Monica Agrawal, Luke S. Murray, Steven Horng, David R. Karger, David A. Sontag
Fast, Structured Clinical Documentation via Contextual Autocomplete. MLHC (2020)
Nathaniel R. Greenbaum, Yacine Jernite, Yoni Halpern, Shelley Calder, Larry A. Nathanson, David A. Sontag, Steven Horng
Improving documentation of presenting problems in the emergency department using a domain-specific ontology and machine learning-driven user interfaces. Int. J. Medical Informatics 132 (2019)
Irene Y. Chen, Monica Agrawal, Steven Horng, David A. Sontag
Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph. CoRR (2019)
Steven Horng, Nathaniel R. Greenbaum, Larry A. Nathanson, James C. McClay, Foster R. Goss, Jeffrey A. Nielson
Consensus Development of a Modern Ontology of Emergency Department Presenting Problems - The Hierarchical Presenting Problem Ontology (HaPPy). Appl. Clin. Inform. 10 (03) (2019)
Eugene Y. Kim, John Torous, Steven Horng, Anne V. Grossestreuer, Jorge Rodriguez, Terrance Lee, Larry A. Nathanson
Mobile device ownership among emergency department patients. Int. J. Medical Informatics 126 (2019)
Ruizhi Liao, Jonathan Rubin, Grace Lam, Seth J. Berkowitz, Sandeep Dalal, William Wells, Steven Horng, Polina Golland
Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images. CoRR (2019)
Alistair E. W. Johnson, Tom J. Pollard, Seth J. Berkowitz, Nathaniel R. Greenbaum, Matthew P. Lungren, Chih-ying Deng, Roger G. Mark, Steven Horng
MIMIC-CXR: A large publicly available database of labeled chest radiographs. CoRR (2019)
Eugene Y. Kim, Larry A. Nathanson, Evan L. Leventhal, Steven Horng
Antimicrobial Susceptibility Data Visualization Tool. AMIA (2017)
Joshua W. Joseph, David T. Chiu, Larry A. Nathanson, Steven Horng
A rules based algorithm to generate problem lists using emergency department medication reconciliation. Int. J. Medical Informatics 94 (2016)
Yoni Halpern, Steven Horng, Youngduck Choi, David A. Sontag
Electronic medical record phenotyping using the anchor and learn framework. J. Am. Medical Informatics Assoc. 23 (4) (2016)
Yoni Halpern, Steven Horng, David A. Sontag
Clinical Tagging with Joint Probabilistic Models. CoRR (2016)
Yoni Halpern, Steven Horng, David A. Sontag
Clinical Tagging with Joint Probabilistic Models. MLHC (2016)
Yoni Halpern, Steven Horng, David A. Sontag
Anchored Discrete Factor Analysis. CoRR (2015)
Yoni Halpern, Youngduck Choi, Steven Horng, David A. Sontag
Using Anchors to Estimate Clinical State without Labeled Data. AMIA (2014)
Joshua W. Joseph, David T. Chiu, Larry A. Nathanson, Steven Horng
Generating Problem Lists Using Medication Reconciliation. AMIA (2014)
Steven Horng, Foster R. Goss, Richard S. Chen, Larry A. Nathanson
Prospective pilot study of a tablet computer in an Emergency Department. Int. J. Medical Informatics 81 (5) (2012)