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)

Using Anchors to Estimate Clinical State without Labeled Data. - Yoni Halpern; Youngduck Choi; Steven Horng; David A. Sontag (AMIA, 2014)

Generating Problem Lists Using Medication Reconciliation. - Joshua W. Joseph; David T. Chiu; Larry A. Nathanson; Steven Horng (AMIA, 2014)

Anchored Discrete Factor Analysis. - Yoni Halpern; Steven Horng; David A. Sontag (CoRR, 2015)

Clinical Tagging with Joint Probabilistic Models. - Yoni Halpern; Steven Horng; David A. Sontag (MLHC, 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)

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)

Antimicrobial Susceptibility Data Visualization Tool. - Eugene Y. Kim; Larry A. Nathanson; Evan L. Leventhal; Steven Horng (AMIA, 2017)

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)

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)

Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images. - Ruizhi Liao 001; Jonathan Rubin; Grace Lam; Seth J. Berkowitz; Sandeep Dalal; William M. Wells III; Steven Horng; Polina Golland (CoRR, 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)

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)

Mobile device ownership among emergency department patients. - Eugene Y. Kim; John B. Torous; Steven Horng; Anne V. Grossestreuer; Jorge Rodriguez; Terrance Lee; Larry A. Nathanson (Int. J. Medical Informatics, 2019)

Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. - Geeticka Chauhan; Ruizhi Liao 001; William M. Wells III; Jacob Andreas; Xin Wang; Seth J. Berkowitz; Steven Horng; Peter Szolovits; Polina Golland (MICCAI (2), 2020)

Fast, Structured Clinical Documentation via Contextual Autocomplete. - Divya Gopinath; Monica Agrawal; Luke S. Murray; Steven Horng; David R. Karger; David A. Sontag (MLHC, 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 (PSB, 2020)

Deep Learning to Quantify Pulmonary Edema in Chest Radiographs. - Steven Horng; Ruizhi Liao 001; Xin Wang; Sandeep Dalal; Polina Golland; Seth J. Berkowitz (CoRR, 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)

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)

Multimodal Representation Learning via Maximization of Local Mutual Information. - Ruizhi Liao 001; Daniel Moyer; Miriam Cha; Keegan Quigley; Seth J. Berkowitz; Steven Horng; Polina Golland; William M. Wells III (MICCAI (2), 2021)

Image Classification with Consistent Supporting Evidence. - Peiqi Wang; Ruizhi Liao 001; Daniel Moyer; Seth J. Berkowitz; Steven Horng; Polina Golland (ML4H@NeurIPS, 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 (UIST, 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)

RadTex: Learning Efficient Radiograph Representations from Text Reports. - Keegan Quigley; Miriam Cha; Ruizhi Liao 001; Geeticka Chauhan; Steven Horng; Seth J. Berkowitz; Polina Golland (REMIA@MICCAI, 2022)

Characterizing the Progression of Pulmonary Edema Severity: Can Pairwise Comparisons in Radiology Reports Help? - Stephanie M. Hu; Steven Horng; Seth J. Berkowitz; Ruizhi Liao 001; Rahul G. Krishnan; Li-Wei H. Lehman; Roger G. Mark (CinC, 2023)

Using Multiple Instance Learning to Build Multimodal Representations. - Peiqi Wang; William M. Wells III; Seth J. Berkowitz; Steven Horng; Polina Golland (IPMI, 2023)

Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes. - Sharon Jiang; Shannon Shen 001; Monica Agrawal; Barbara D. Lam; Nicholas Kurtzman; Steven Horng; David R. Karger; David A. Sontag (MLHC, 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 (MLHC, 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)

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 001; Nicholas Kurtzman; Steven Horng; David R. Karger; David A. Sontag (J. Am. Medical Informatics Assoc., 2024)