Daniel Fabbri
TitleCited byYear
A scalable framework to detect personal health mentions on Twitter
Z Yin, D Fabbri, ST Rosenbloom, B Malin
Journal of medical Internet research 17 (6), e138, 2015
442015
Explanation-based auditing
D Fabbri, K LeFevre
Proceedings of the VLDB Endowment 5 (1), 1-12, 2011
402011
Explaining accesses to electronic medical records using diagnosis information
D Fabbri, K LeFevre
Journal of the American Medical Informatics Association 20 (1), 52-60, 2012
252012
Automated Classification of Consumer Health Information Needs in Patient Portal Messages
R Cronin, D Fabbri, J Denny, G Jackson
American Medical Informatics Association, 2015
202015
A comparison of rule-based and machine learning approaches for classifying patient portal messages
RM Cronin, D Fabbri, JC Denny, ST Rosenbloom, GP Jackson
International journal of medical informatics 105, 110-120, 2017
172017
Toward content-based image retrieval with deep convolutional neural networks
JES Sklan, AJ Plassard, D Fabbri, BA Landman
Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and …, 2015
172015
Classifying patient portal messages using Convolutional Neural Networks
L Sulieman, D Gilmore, C French, RM Cronin, GP Jackson, M Russell, ...
Journal of biomedical informatics 74, 59-70, 2017
132017
Policyreplay: Misconfiguration-response queries for data breach reporting
D Fabbri, K LeFevre, Q Zhu
Proceedings of the VLDB Endowment 3 (1-2), 36-47, 2010
132010
Select triggers for data auditing
D Fabbri, R Ramamurthy, R Kaushik
2013 IEEE 29th International Conference on Data Engineering (ICDE), 1141-1152, 2013
122013
Complexity of medical decision-making in care provided by surgeons through patient portals
JR Robinson, A Valentine, C Carney, D Fabbri, GP Jackson
Journal of Surgical Research 214, 93-101, 2017
112017
Predicting discharge dates from the NICU using progress note data
MW Temple, CU Lehmann, D Fabbri
Pediatrics 136 (2), e395-e405, 2015
112015
Explaining accesses to electronic health records
D Fabbri, K LeFevre, DA Hanauer
Proceedings of the 2011 Workshop on data mining for medicine and healthcare …, 2011
112011
Deep learning for brain tumor classification
JS Paul, AJ Plassard, BA Landman, D Fabbri
SPIE Medical Imaging, 2017
102017
Mining Twitter as a First Step toward Assessing the Adequacy of Gender Identification Terms on Intake Forms
A Hicks, W Hogan, M Rutherford, B Malin, M Xie, C Fellbaum, Z Yin, ...
American Medical Informatics Association, 2015
102015
# PrayForDad: Learning the Semantics Behind Why Social Media Users Disclose Health Information
Z Yin, Y Chen, D Fabbri, J Sun, B Malin
Tenth International AAAI Conference on Web and Social Media, 2016
92016
Single-dose oral dexamethasone is effective in preventing relapse after acute asthma exacerbations
CS Watnick, D Fabbri, DH Arnold
Annals of Allergy, Asthma & Immunology 116 (2), 171-172, 2016
92016
Patient stratification using electronic health records from a chronic disease management program
R Chen, J Sun, RS Dittus, D Fabbri, J Kirby, CL Laffer, CD McNaughton, ...
IEEE journal of biomedical and health informatics, 2016
92016
A game-theoretic approach for alert prioritization
A Laszka, Y Vorobeychik, D Fabbri, C Yan, B Malin
Workshops at the Thirty-First AAAI Conference on Artificial Intelligence, 2017
82017
Decide now or decide later?: Quantifying the tradeoff between prospective and retrospective access decisions
W Zhang, Y Chen, T Cybulski, D Fabbri, C Gunter, P Lawlor, D Liebovitz, ...
Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications …, 2014
82014
Development of an automated phenotyping algorithm for hepatorenal syndrome
JD Koola, SE Davis, O Al-Nimri, SK Parr, D Fabbri, BA Malin, SB Ho, ...
Journal of biomedical informatics 80, 87-95, 2018
72018
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Articles 1–20