PrivatePond: Outsourced Management of Web Corpuses. - Daniel Fabbri; Arnab Nandi 001; Kristen LeFevre; H. V. Jagadish (WebDB, 2009)

PolicyReplay: Misconfiguration-Response Queries for Data Breach Reporting. - Daniel Fabbri; Kristen LeFevre; Qiang Zhu 001 (Proc. VLDB Endow., 2010)

Explanation-Based Auditing. - Daniel Fabbri; Kristen LeFevre (Proc. VLDB Endow., 2011)

SELECT triggers for data auditing. - Daniel Fabbri; Ravishankar Ramamurthy; Raghav Kaushik (ICDE, 2013)

Explaining accesses to electronic medical records using diagnosis information. - Daniel Fabbri; Kristen LeFevre (J. Am. Medical Informatics Assoc., 2013)

Explanation-Based Auditing. - Daniel Fabbri (2013)

Decide Now or Decide Later?: Quantifying the Tradeoff between Prospective and Retrospective Access Decisions. - Wen Zhang; You Chen 001; Thaddeus Cybulski; Daniel Fabbri; Carl A. Gunter; Patrick N. Lawlor; David M. Liebovitz; Bradley A. Malin (CCS, 2014)

Automated Classification of Consumer Health Information Needs in Patient Portal Messages. - Robert M. Cronin; Daniel Fabbri; Joshua C. Denny; Gretchen Purcell Jackson (AMIA, 2015)

Mining Twitter as a First Step toward Assessing the Adequacy of Gender Identification Terms on Intake Forms. - Amanda Hicks; William R. Hogan; Michael W. Rutherford; Bradley A. Malin; Mengjun Xie; Christiane Fellbaum; Zhijun Yin; Daniel Fabbri; Josh Hanna; Jiang Bian 001 (AMIA, 2015)

Comparison of Patient Portal Usage between Employees and Non-Employees. - Lina M. Sulieman; Dara Eckerle Mize; Daniel Fabbri; S. Trent Rosenbloom (AMIA, 2015)

Discovering de facto diagnosis specialties. - Xun Lu; Aston Zhang; Carl A. Gunter; Daniel Fabbri; David M. Liebovitz; Bradley A. Malin (BCB, 2015)

Toward content-based image retrieval with deep convolutional neural networks. - Judah E. S. Sklan; Andrew J. Plassard; Daniel Fabbri; Bennett A. Landman (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Predicting Negative Events: Using Post-discharge Data to Detect High-Risk Patients. - Lina M. Sulieman; Daniel Fabbri; Fei Wang 001; Jianying Hu; Bradley A. Malin (AMIA, 2016)

Data-Driven System for Perioperative Acuity Prediction. - Linda Zhang 002; Daniel Fabbri; Jonathan P. Wanderer (AMIA, 2016)

Evaluating EHR Data Availability for Cohort Selection in Retrospective Studies. - Morgan Harrell; Daniel Fabbri; Mia A. Levy (ICHI, 2016)

#PrayForDad: Learning the Semantics Behind Why Social Media Users Disclose Health Information. - Zhijun Yin; You Chen 001; Daniel Fabbri; Jimeng Sun 001; Bradley A. Malin (ICWSM, 2016)

Structural functional associations of the orbit in thyroid eye disease: Kalman filters to track extraocular rectal muscles. - Shikha Chaganti; Katrina Nelson; Kevin Mundy; Yifu Luo; Robert L. Harrigan; Steve Damon; Daniel Fabbri; Louise A. Mawn; Bennett A. Landman (Image Processing, 2016)

Natural Language Processing for Cohort Discovery in a Discharge Prediction Model for the Neonatal ICU. - Christoph Lehmann; Daniel Fabbri; Michael Temple (Appl. Clin. Inform., 2016)

Hands Free Automatic Clinical Care Documentation: Opportunities for Motion Sensors and Cameras. - Daniel Fabbri; Jesse M. Ehrenfeld (J. Medical Syst., 2016)

A Game-Theoretic Approach for Alert Prioritization. - Aron Laszka; Yevgeniy Vorobeychik; Daniel Fabbri; Chao Yan 004; Bradley A. Malin (AAAI Workshops, 2017)

Mixed Methods Approach for Understanding Clinical Workflow. - Ioana Danciu; Kim M. Unertl; Stuart Weinberg; Daniel Fabbri (AMIA, 2017)

Evaluating the Effectiveness of Auditing Rules for Electronic Health Record Systems. - Monica Hedda; Bradley A. Malin; Chao Yan 004; Daniel Fabbri (AMIA, 2017)

A comparative analysis of state-of-the-art SQL-on-Hadoop systems for interactive analytics. - Ashish Tapdiya; Daniel Fabbri (IEEE BigData, 2017)

A Comparative Analysis of Materialized Views Selection and Concurrency Control Mechanisms in NoSQL Databases. - Ashish Tapdiya; Yuan Xue; Daniel Fabbri (CLUSTER, 2017)

Supervised Machine Learning to Predict Follow-Up Among Adjuvant Endocrine Therapy Patients. - Morgan Harrell; Mia A. Levy; Daniel Fabbri (ICHI, 2017)

Deep learning for brain tumor classification. - Justin S. Paul; Andrew J. Plassard; Bennett A. Landman; Daniel Fabbri (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

A comparison of rule-based and machine learning approaches for classifying patient portal messages. - Robert M. Cronin; Daniel Fabbri; Joshua C. Denny; S. Trent Rosenbloom; Gretchen Purcell Jackson (Int. J. Medical Informatics, 2017)

Classifying patient portal messages using Convolutional Neural Networks. - Lina M. Sulieman; David Gilmore; Christi French; Robert M. Cronin; Gretchen Purcell Jackson; Matthew Russell; Daniel Fabbri (J. Biomed. Informatics, 2017)

Crowdsourcing Clinical Chart Reviews. - Joseph R. Coco; Cheng Ye 001; Chen Hajaj; Yevgeniy Vorobeychik; Joshua C. Denny; Laurie L. Novak; Bradley A. Malin; Thomas A. Lasko; Daniel Fabbri (AMIA, 2018)

What Do EHR Access Logs Tell Us About Workflow Patterns? - Ioana Danciu; Stuart Weinberg; Daniel Fabbri; Kim M. Unertl (AMIA, 2018)

Mining the Best Observational Window to Model Social Phenomena. - Chao Yan 004; Zhijun Yin; Stanley Xiang; You Chen 001; Yevgeniy Vorobeychik; Daniel Fabbri; Abel N. Kho; David M. Liebovitz; Bradley A. Malin (CIC, 2018)

Get Your Workload in Order: Game Theoretic Prioritization of Database Auditing. - Chao Yan 004; Bo Li 026; Yevgeniy Vorobeychik; Aron Laszka; Daniel Fabbri; Bradley A. Malin (ICDE, 2018)

Schedule-based metrics for the evaluation of clinic performance and potential recovery of cancelled appointments. - Ken Monahan; Daniel Fabbri (Int. J. Medical Informatics, 2018)

The therapy is making me sick: how online portal communications between breast cancer patients and physicians indicate medication discontinuation. - Zhijun Yin; Morgan Harrell; Jeremy L. Warner; Qingxia Chen; Daniel Fabbri; Bradley A. Malin (J. Am. Medical Informatics Assoc., 2018)

Development of an automated phenotyping algorithm for hepatorenal syndrome. - Jejo D. Koola; Sharon E. Davis; Omar Al-Nimri; Sharidan K. Parr; Daniel Fabbri; Bradley A. Malin; Samuel B. Ho; Michael E. Matheny (J. Biomed. Informatics, 2018)

Extracting similar terms from multiple EMR-based semantic embeddings to support chart reviews. - Cheng Ye 001; Daniel Fabbri (J. Biomed. Informatics, 2018)

A System for Automated Determination of Perioperative Patient Acuity. - Linda Zhang 002; Daniel Fabbri; Thomas A. Lasko; Jesse M. Ehrenfeld; Jonathan P. Wanderer (J. Medical Syst., 2018)

Feasibility Assessment of a Pre-Hospital Automated Sensing Clinical Documentation System. - Sean M. Bloos; Candace D. McNaughton; Joseph R. Coco; Laurie L. Novak; Julie A. Adams; Robert E. Bodenheimer; Jesse M. Ehrenfeld; Jamison R. Heard; Richard A. Paris; Christopher L. Simpson; Deirdre M. Scully; Daniel Fabbri (AMIA, 2019)

Automatic Clinical Procedure Detection for Emergency Services. - Jamison Heard; Richard A. Paris; Deirdre Scully; Candace D. McNaughton; Jesse M. Ehrenfeld; Joseph R. Coco; Daniel Fabbri; Bobby Bodenheimer; Julie A. Adams (EMBC, 2019)

Heatmap generation for emergency medical procedure identification. - Richard A. Paris; Paul Sullivan; Jamison Heard; Diedre Scully; Candace D. McNaughton; Jesse M. Ehrenfeld; Julie A. Adams; Joseph R. Coco; Daniel Fabbri; Bobby Bodenheimer (Image-Guided Procedures, 2019)

Copy-and-Paste in Medical Student Notes: Extent, Temporal Trends, and Relationship to Scholastic Performance. - Ken Monahan; Cheng Ye 001; Edward Gould; Meng Xu; Shi Huang; Anderson Spickard; S. Trent Rosenbloom; Joseph R. Coco; Daniel Fabbri; Bonnie Miller (Appl. Clin. Inform., 2019)

Database Audit Workload Prioritization via Game Theory. - Chao Yan 004; Bo Li 026; Yevgeniy Vorobeychik; Aron Laszka; Daniel Fabbri; Bradley A. Malin (ACM Trans. Priv. Secur., 2019)

Emergency Clinical Procedure Detection With Deep Learning. - Lingfeng Li; Richard A. Paris; Conner Pinson; Yan Wang; Joseph R. Coco; Jamison Heard; Julie A. Adams; Daniel Fabbri; Bobby Bodenheimer (EMBC, 2020)

To Warn or Not to Warn: Online Signaling in Audit Games. - Chao Yan 004; Haifeng Xu; Yevgeniy Vorobeychik; Bo Li 026; Daniel Fabbri; Bradley A. Malin (ICDE, 2020)

User-Centered Clinical Display Design Issues for Inpatient Providers. - Thomas A. Lasko; David A. Owens; Daniel Fabbri; Jonathan P. Wanderer; Julian Z. Genkins; Laurie L. Novak (Appl. Clin. Inform., 2020)

Predicting Motor Responsiveness to Deep Brain Stimulation with Machine Learning. - Kevin J. Krause; Fenna Phibbs; Thomas Davis; Daniel Fabbri (AMIA, 2021)

Automatic Data Curation from Unstructured Text. - Protiva Rahman; Daniel Fabbri (AMIA, 2021)

Classifying Infection Risk Following Pediatric Cardiac Surgery. - Kaitlin C. Williamson; Daniel Fabbri (AMIA, 2021)

A Perioperative Care Display for Understanding High Acuity Patients. - Laurie Lovett Novak; Jonathan P. Wanderer; David A. Owens; Daniel Fabbri; Julian Z. Genkins; Thomas A. Lasko (Appl. Clin. Inform., 2021)

Extracting Medical Information from Paper COVID-19 Assessment Forms. - Jacob D. Schultz; Colin G. White-Dzuro; Cheng Ye 001; Joseph R. Coco; Janet M. Myers; Claude Shackelford; S. Trent Rosenbloom; Daniel Fabbri (Appl. Clin. Inform., 2021)

Phenotyping coronavirus disease 2019 during a global health pandemic: Lessons learned from the characterization of an early cohort. - Sarah DeLozier; Sarah Bland; Melissa McPheeters; Quinn Stanton Wells; Eric Farber-Eger; Cosmin Adrian Bejan; Daniel Fabbri; S. Trent Rosenbloom; Dan M. Roden; Kevin B. Johnson; Wei-Qi Wei; Josh F. Peterson; et al. (J. Biomed. Informatics, 2021)

Delirium Variability is Influenced by the Sound Environment (DEVISE Study): How Changes in the Intensive Care Unit soundscape affect delirium incidence. - Ayush Sangari; Elizabeth A. Emhardt; Barbara Salas; Andrew Avery; Robert E. Freundlich; Daniel Fabbri; Matthew S. Shotwell; Joseph J. Schlesinger (J. Medical Syst., 2021)

Leveraging medical context to recommend semantically similar terms for chart reviews. - Cheng Ye 001; Bradley A. Malin; Daniel Fabbri (BMC Medical Informatics Decis. Mak., 2021)

Semi-Automated Data Curation from Biomedical Literature. - Protiva Rahman; Daniel Fabbri (AMIA, 2022)

Accelerated Data Curation of Colitis Cases. - Protiva Rahman; Cheng Ye 001; Kate Mittendorf; Michele L. LeNoue-Newton; Christine Micheel; Daniel Fabbri (AMIA, 2022)