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2020 – today
- 2022
[c35]Protiva Rahman, Daniel Fabbri:
Semi-Automated Data Curation from Biomedical Literature. AMIA 2022- [c34]Protiva Rahman, Cheng Ye, Kate Mittendorf, Michele L. LeNoue-Newton, Christine Micheel, Daniel Fabbri:
Accelerated Data Curation of Colitis Cases. AMIA 2022 - [c33]Kaitlin C. Williamson, Daniel Fabbri:
Classifying Infection Risk Following Pediatric Cardiac Surgery. AMIA 2022 - 2021
- [j20]Laurie Lovett Novak
, Jonathan P. Wanderer, David A. Owens, Daniel Fabbri, Julian Z. Genkins, Thomas A. Lasko:
A Perioperative Care Display for Understanding High Acuity Patients. Appl. Clin. Inform. 12(01): 164-169 (2021) - [j19]Jacob D. Schultz, Colin G. White-Dzuro, Cheng Ye, Joseph R. Coco, Janet M. Myers, Claude Shackelford, S. Trent Rosenbloom, Daniel Fabbri:
Extracting Medical Information from Paper COVID-19 Assessment Forms. Appl. Clin. Inform. 12(01): 170-178 (2021) - [j18]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, Lisa Bastarache:
Phenotyping coronavirus disease 2019 during a global health pandemic: Lessons learned from the characterization of an early cohort. J. Biomed. Informatics 117: 103777 (2021) - [j17]Ayush Sangari, Elizabeth A. Emhardt, Barbara Salas, Andrew Avery, Robert E. Freundlich, Daniel Fabbri, Matthew S. Shotwell, Joseph J. Schlesinger:
Delirium Variability is Influenced by the Sound Environment (DEVISE Study): How Changes in the Intensive Care Unit soundscape affect delirium incidence. J. Medical Syst. 45(8): 76 (2021) - [j16]Cheng Ye, Bradley A. Malin, Daniel Fabbri:
Leveraging medical context to recommend semantically similar terms for chart reviews. BMC Medical Informatics Decis. Mak. 21(1): 353 (2021) - [c32]Kevin J. Krause, Fenna Phibbs, Thomas Davis, Daniel Fabbri:
Predicting Motor Responsiveness to Deep Brain Stimulation with Machine Learning. AMIA 2021 - [c31]Protiva Rahman, Daniel Fabbri:
Automatic Data Curation from Unstructured Text. AMIA 2021 - [c30]Kaitlin C. Williamson, Daniel Fabbri:
Classifying Infection Risk Following Pediatric Cardiac Surgery. AMIA 2021 - 2020
- [j15]Thomas A. Lasko, David A. Owens, Daniel Fabbri, Jonathan P. Wanderer, Julian Z. Genkins, Laurie L. Novak:
User-Centered Clinical Display Design Issues for Inpatient Providers. Appl. Clin. Inform. 11(05): 700-709 (2020) - [c29]Lingfeng Li, Richard A. Paris, Conner Pinson, Yan Wang, Joseph R. Coco, Jamison Heard, Julie A. Adams, Daniel Fabbri, Bobby Bodenheimer:
Emergency Clinical Procedure Detection With Deep Learning. EMBC 2020: 158-163 - [c28]Chao Yan, Haifeng Xu, Yevgeniy Vorobeychik, Bo Li, Daniel Fabbri, Bradley A. Malin:
To Warn or Not to Warn: Online Signaling in Audit Games. ICDE 2020: 481-492
2010 – 2019
- 2019
- [j14]Ken Monahan, Cheng Ye, Edward Gould, Meng Xu, Shi Huang, Anderson Spickard, S. Trent Rosenbloom, Joseph R. Coco, Daniel Fabbri, Bonnie Miller:
Copy-and-Paste in Medical Student Notes: Extent, Temporal Trends, and Relationship to Scholastic Performance. Appl. Clin. Inform. 10(03): 479-486 (2019) - [j13]Chao Yan, Bo Li, Yevgeniy Vorobeychik, Aron Laszka, Daniel Fabbri, Bradley A. Malin:
Database Audit Workload Prioritization via Game Theory. ACM Trans. Priv. Secur. 22(3): 17:1-17:21 (2019) - [c27]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:
Feasibility Assessment of a Pre-Hospital Automated Sensing Clinical Documentation System. AMIA 2019 - [c26]Jamison Heard, Richard A. Paris, Deirdre Scully, Candace D. McNaughton, Jesse M. Ehrenfeld, Joseph R. Coco, Daniel Fabbri, Bobby Bodenheimer, Julie A. Adams:
Automatic Clinical Procedure Detection for Emergency Services. EMBC 2019: 337-340 - [c25]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:
Heatmap generation for emergency medical procedure identification. Image-Guided Procedures 2019: 1095130 - [i5]Chao Yan, Haifeng Xu, Yevgeniy Vorobeychik, Bo Li, Daniel Fabbri, Bradley A. Malin:
To Warn or Not to Warn: Online Signaling in Audit Games. CoRR abs/1905.06946 (2019) - 2018
- [j12]Ken Monahan, Daniel Fabbri:
Schedule-based metrics for the evaluation of clinic performance and potential recovery of cancelled appointments. Int. J. Medical Informatics 109: 49-54 (2018) - [j11]Zhijun Yin, Morgan Harrell, Jeremy L. Warner, Qingxia Chen, Daniel Fabbri, Bradley A. Malin:
The therapy is making me sick: how online portal communications between breast cancer patients and physicians indicate medication discontinuation. J. Am. Medical Informatics Assoc. 25(11): 1444-1451 (2018) - [j10]Jejo D. Koola, Sharon E. Davis, Omar Al-Nimri, Sharidan K. Parr, Daniel Fabbri, Bradley A. Malin, Samuel B. Ho, Michael E. Matheny:
Development of an automated phenotyping algorithm for hepatorenal syndrome. J. Biomed. Informatics 80: 87-95 (2018) - [j9]Cheng Ye, Daniel Fabbri:
Extracting similar terms from multiple EMR-based semantic embeddings to support chart reviews. J. Biomed. Informatics 83: 63-72 (2018) - [j8]Linda Zhang, Daniel Fabbri, Thomas A. Lasko, Jesse M. Ehrenfeld, Jonathan P. Wanderer:
A System for Automated Determination of Perioperative Patient Acuity. J. Medical Syst. 42(7): 123:1-123:11 (2018) - [c24]Joseph R. Coco, Cheng Ye, Chen Hajaj, Yevgeniy Vorobeychik, Joshua C. Denny, Laurie L. Novak, Bradley A. Malin, Thomas A. Lasko, Daniel Fabbri:
Crowdsourcing Clinical Chart Reviews. AMIA 2018 - [c23]Ioana Danciu, Stuart Weinberg, Daniel Fabbri, Kim M. Unertl:
What Do EHR Access Logs Tell Us About Workflow Patterns? AMIA 2018 - [c22]Chao Yan, Zhijun Yin, Stanley Xiang, You Chen, Yevgeniy Vorobeychik, Daniel Fabbri, Abel N. Kho, David M. Liebovitz, Bradley A. Malin:
Mining the Best Observational Window to Model Social Phenomena. CIC 2018: 46-55 - [c21]Chao Yan, Bo Li, Yevgeniy Vorobeychik, Aron Laszka, Daniel Fabbri, Bradley A. Malin:
Get Your Workload in Order: Game Theoretic Prioritization of Database Auditing. ICDE 2018: 1304-1307 - [i4]Chao Yan, Bo Li, Yevgeniy Vorobeychik, Aron Laszka, Daniel Fabbri, Bradley A. Malin:
Get Your Workload in Order: Game Theoretic Prioritization of Database Auditing. CoRR abs/1801.07215 (2018) - [i3]Ashish Tapdiya, Daniel Fabbri:
A comparative analysis of state-of-the-art SQL-on-Hadoop systems for interactive analytics. CoRR abs/1804.00224 (2018) - 2017
- [j7]Robert M. Cronin, Daniel Fabbri, Joshua C. Denny, S. Trent Rosenbloom, Gretchen Purcell Jackson:
A comparison of rule-based and machine learning approaches for classifying patient portal messages. Int. J. Medical Informatics 105: 110-120 (2017) - [j6]Lina M. Sulieman, David Gilmore, Christi French, Robert M. Cronin, Gretchen Purcell Jackson, Matthew Russell, Daniel Fabbri:
Classifying patient portal messages using Convolutional Neural Networks. J. Biomed. Informatics 74: 59-70 (2017) - [c20]Aron Laszka, Yevgeniy Vorobeychik, Daniel Fabbri, Chao Yan, Bradley A. Malin:
A Game-Theoretic Approach for Alert Prioritization. AAAI Workshops 2017 - [c19]Ioana Danciu, Kim M. Unertl, Stuart Weinberg, Daniel Fabbri:
Mixed Methods Approach for Understanding Clinical Workflow. AMIA 2017 - [c18]Monica Hedda, Bradley A. Malin, Chao Yan, Daniel Fabbri:
Evaluating the Effectiveness of Auditing Rules for Electronic Health Record Systems. AMIA 2017 - [c17]Ashish Tapdiya, Daniel Fabbri:
A comparative analysis of state-of-the-art SQL-on-Hadoop systems for interactive analytics. IEEE BigData 2017: 1349-1356 - [c16]Ashish Tapdiya, Yuan Xue, Daniel Fabbri:
A Comparative Analysis of Materialized Views Selection and Concurrency Control Mechanisms in NoSQL Databases. CLUSTER 2017: 384-388 - [c15]Morgan Harrell, Mia A. Levy, Daniel Fabbri:
Supervised Machine Learning to Predict Follow-Up Among Adjuvant Endocrine Therapy Patients. ICHI 2017: 490-495 - [c14]Justin S. Paul, Andrew J. Plassard, Bennett A. Landman, Daniel Fabbri:
Deep learning for brain tumor classification. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 1013710 - [i2]Ashish Tapdiya, Yuan Xue, Daniel Fabbri:
A Comparative Analysis of Materialized Views Selection and Concurrency Control Mechanisms in NoSQL Databases. CoRR abs/1710.01792 (2017) - 2016
- [j5]Christoph Lehmann, Daniel Fabbri, Michael Temple:
Natural Language Processing for Cohort Discovery in a Discharge Prediction Model for the Neonatal ICU. Appl. Clin. Inform. 07(01): 101-115 (2016) - [j4]Daniel Fabbri, Jesse M. Ehrenfeld:
Hands Free Automatic Clinical Care Documentation: Opportunities for Motion Sensors and Cameras. J. Medical Syst. 40(10): 213:1-213:2 (2016) - [c13]Lina M. Sulieman, Daniel Fabbri, Fei Wang, Jianying Hu, Bradley A. Malin:
Predicting Negative Events: Using Post-discharge Data to Detect High-Risk Patients. AMIA 2016 - [c12]Linda Zhang, Daniel Fabbri, Jonathan P. Wanderer:
Data-Driven System for Perioperative Acuity Prediction. AMIA 2016 - [c11]Morgan Harrell, Daniel Fabbri, Mia A. Levy:
Evaluating EHR Data Availability for Cohort Selection in Retrospective Studies. ICHI 2016: 380-387 - [c10]Zhijun Yin, You Chen, Daniel Fabbri, Jimeng Sun, Bradley A. Malin:
#PrayForDad: Learning the Semantics Behind Why Social Media Users Disclose Health Information. ICWSM 2016: 456-465 - [c9]Shikha Chaganti, Katrina Nelson, Kevin Mundy, Yifu Luo, Robert L. Harrigan, Steve Damon, Daniel Fabbri, Louise A. Mawn, Bennett A. Landman:
Structural functional associations of the orbit in thyroid eye disease: Kalman filters to track extraocular rectal muscles. Image Processing 2016: 97841G - 2015
- [c8]Robert M. Cronin, Daniel Fabbri, Joshua C. Denny, Gretchen Purcell Jackson:
Automated Classification of Consumer Health Information Needs in Patient Portal Messages. AMIA 2015 - [c7]Amanda Hicks, William R. Hogan, Michael W. Rutherford, Bradley A. Malin, Mengjun Xie, Christiane Fellbaum, Zhijun Yin, Daniel Fabbri, Josh Hanna, Jiang Bian:
Mining Twitter as a First Step toward Assessing the Adequacy of Gender Identification Terms on Intake Forms. AMIA 2015 - [c6]Lina M. Sulieman, Dara Eckerle Mize, Daniel Fabbri, S. Trent Rosenbloom:
Comparison of Patient Portal Usage between Employees and Non-Employees. AMIA 2015 - [c5]Xun Lu, Aston Zhang, Carl A. Gunter, Daniel Fabbri, David M. Liebovitz, Bradley A. Malin:
Discovering de facto diagnosis specialties. BCB 2015: 7-16 - [c4]Judah E. S. Sklan, Andrew J. Plassard, Daniel Fabbri, Bennett A. Landman:
Toward content-based image retrieval with deep convolutional neural networks. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94172C - 2014
- [c3]Wen Zhang, You Chen, Thaddeus Cybulski, Daniel Fabbri, Carl A. Gunter, Patrick N. Lawlor, David M. Liebovitz, Bradley A. Malin:
Decide Now or Decide Later?: Quantifying the Tradeoff between Prospective and Retrospective Access Decisions. CCS 2014: 1182-1192 - 2013
- [b1]Daniel Fabbri:
Explanation-Based Auditing. University of Michigan, USA, 2013 - [j3]Daniel Fabbri, Kristen LeFevre:
Explaining accesses to electronic medical records using diagnosis information. J. Am. Medical Informatics Assoc. 20(1): 52-60 (2013) - [c2]Daniel Fabbri, Ravishankar Ramamurthy, Raghav Kaushik:
SELECT triggers for data auditing. ICDE 2013: 1141-1152 - 2011
- [j2]Daniel Fabbri, Kristen LeFevre:
Explanation-Based Auditing. Proc. VLDB Endow. 5(1): 1-12 (2011) - [i1]Daniel Fabbri, Kristen LeFevre:
Explanation-Based Auditing. CoRR abs/1109.6880 (2011) - 2010
- [j1]Daniel Fabbri, Kristen LeFevre, Qiang Zhu:
PolicyReplay: Misconfiguration-Response Queries for Data Breach Reporting. Proc. VLDB Endow. 3(1): 36-47 (2010)
2000 – 2009
- 2009
- [c1]Daniel Fabbri, Arnab Nandi, Kristen LeFevre, H. V. Jagadish:
PrivatePond: Outsourced Management of Web Corpuses. WebDB 2009
Coauthor Index
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