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2020 – today
- 2024
[j9]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): 1578-1582 (2024)- 2023
- [c15]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: 1-4 - [c14]Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland:
Using Multiple Instance Learning to Build Multimodal Representations. IPMI 2023: 457-470 - [c13]Sharon Jiang, Shannon Shen, Monica Agrawal, Barbara D. 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: 343-359 - [c12]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: 788-803 - [i17]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 abs/2304.13181 (2023) - [i16]Sharon Jiang, Shannon Shen, Monica Agrawal, Barbara D. Lam, Nicholas Kurtzman, Steven Horng, David R. Karger, David A. Sontag:
Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes. CoRR abs/2308.08494 (2023) - [i15]Keegan Quigley, Miriam Cha, Josh Barua, Geeticka Chauhan, Seth J. Berkowitz, Steven Horng, Polina Golland:
Bidirectional Captioning for Clinically Accurate and Interpretable Models. CoRR abs/2310.19635 (2023) - 2022
- [c11]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: 22-31 - [i14]Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland:
RadTex: Learning Efficient Radiograph Representations from Text Reports. CoRR abs/2208.03218 (2022) - [i13]Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland:
Using Multiple Instance Learning to Build Multimodal Representations. CoRR abs/2212.05561 (2022) - 2021
- [j8]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): 1826-1833 (2021) - [c10]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: 273-283 - [c9]Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland:
Image Classification with Consistent Supporting Evidence. ML4H@NeurIPS 2021: 168-180 - [c8]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: 1169-1183 - [i12]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 abs/2103.04537 (2021) - [i11]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 abs/2109.11451 (2021) - [i10]Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland:
Image Classification with Consistent Supporting Evidence. CoRR abs/2111.07048 (2021) - 2020
- [j7]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): 147-153 (2020) - [c7]Geeticka Chauhan, Ruizhi Liao, William M. Wells III, 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: 529-539 - [c6]Divya Gopinath, Monica Agrawal, Luke S. Murray, Steven Horng, David R. Karger, David A. Sontag:
Fast, Structured Clinical Documentation via Contextual Autocomplete. MLHC 2020: 842-870 - [c5]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: 19-30 - [i9]Divya Gopinath, Monica Agrawal, Luke S. Murray, Steven Horng, David R. Karger, David A. Sontag:
Fast, Structured Clinical Documentation via Contextual Autocomplete. CoRR abs/2007.15153 (2020) - [i8]Steven Horng, Ruizhi Liao, Xin Wang, Sandeep Dalal, Polina Golland, Seth J. Berkowitz:
Deep Learning to Quantify Pulmonary Edema in Chest Radiographs. CoRR abs/2008.05975 (2020) - [i7]Geeticka Chauhan, Ruizhi Liao, William M. Wells III, 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 abs/2008.09884 (2020) - [i6]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 abs/2012.07742 (2020)
2010 – 2019
- 2019
- [j6]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): 409-420 (2019) - [j5]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: 114-117 (2019) - [j4]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) - [i5]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 abs/1901.07042 (2019) - [i4]Ruizhi Liao, Jonathan Rubin, Grace Lam, Seth J. Berkowitz, Sandeep Dalal, William M. Wells III, Steven Horng, Polina Golland:
Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images. CoRR abs/1902.10785 (2019) - [i3]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 abs/1910.01116 (2019) - 2017
- [c4]Eugene Y. Kim, Larry A. Nathanson, Evan L. Leventhal, Steven Horng:
Antimicrobial Susceptibility Data Visualization Tool. AMIA 2017 - 2016
- [j3]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: 117-122 (2016) - [j2]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): 731-740 (2016) - [c3]Yoni Halpern, Steven Horng, David A. Sontag:
Clinical Tagging with Joint Probabilistic Models. MLHC 2016: 209-225 - [i2]Yoni Halpern, Steven Horng, David A. Sontag:
Clinical Tagging with Joint Probabilistic Models. CoRR abs/1608.00686 (2016) - 2015
- [i1]Yoni Halpern, Steven Horng, David A. Sontag:
Anchored Discrete Factor Analysis. CoRR abs/1511.03299 (2015) - 2014
- [c2]Yoni Halpern, Youngduck Choi, Steven Horng, David A. Sontag:
Using Anchors to Estimate Clinical State without Labeled Data. AMIA 2014 - [c1]Joshua W. Joseph, David T. Chiu, Larry A. Nathanson, Steven Horng:
Generating Problem Lists Using Medication Reconciliation. AMIA 2014 - 2012
- [j1]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): 314-319 (2012)
Coauthor Index
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