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ORCIDDavid L. Buckeridge
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- affiliation: McGill University, Montreal, Quebec, Canada
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2020 – today
- 2024
[j41]Louis Mullie
, Jonathan Afilalo, Patrick M. Archambault, Rima Bouchakri, Kip Brown, David L. Buckeridge, Yiorgos Alexandros Cavayas, Alexis F. Turgeon, Denis Martineau, François Lamontagne, Martine Lebrasseur, Renald Lemieux, Jeffrey Li, Michaël Sauthier, Pascal St-Onge, An Tang, William Witteman, Michael Chassé:
CODA: an open-source platform for federated analysis and machine learning on distributed healthcare data. J. Am. Medical Informatics Assoc. 31(3): 651-665 (2024)- [c50]Zihao Fu, Meiru Zhang, Zaiqiao Meng, Yannan Shen, David L. Buckeridge, Nigel Collier:
BAND: Biomedical Alert News Dataset. AAAI 2024: 18012-18020 - 2023
- [i8]Zihao Fu, Meiru Zhang, Zaiqiao Meng, Yannan Shen, Anya Okhmatovskaia, David L. Buckeridge, Nigel Collier:
BAND: Biomedical Alert News Dataset. CoRR abs/2305.14480 (2023) - 2022
- [j40]Zaiqiao Meng, Anya Okhmatovskaia, Maxime Polleri, Yannan Shen, Guido Powell, Zihao Fu, Iris Ganser, Meiru Zhang, Nicholas B. King, David L. Buckeridge, Nigel Collier:
BioCaster in 2021: automatic disease outbreaks detection from global news media. Bioinform. 38(18): 4446-4448 (2022) - [j39]Hua Xu, David L. Buckeridge, Fei Wang, Peter Tarczy-Hornoch:
Novel informatics approaches to COVID-19 Research: From methods to applications. J. Biomed. Informatics 129: 104028 (2022) - [j38]Yuri Ahuja, Yuesong Zou, Aman Verma, David L. Buckeridge, Yue Li:
MixEHR-Guided: A guided multi-modal topic modeling approach for large-scale automatic phenotyping using the electronic health record. J. Biomed. Informatics 134: 104190 (2022) - [j37]Zhi Wen, Guido Powell, Imane Chafi, David L. Buckeridge, Yue Li:
Inferring global-scale temporal latent topics from news reports to predict public health interventions for COVID-19. Patterns 3(3): 100435 (2022) - [c49]Ziyang Song, Yuanyi Hu, Aman Verma, David L. Buckeridge, Yue Li:
Automatic Phenotyping by a Seed-guided Topic Model. KDD 2022: 4713-4723 - [c48]Anya Okhmatovskaia, Yannan Shen, Iris Ganser, Nigel Collier, Nicholas B. King, Zaiqiao Meng, David L. Buckeridge:
A Conceptual Framework for Representing Events Under Public Health Surveillance. MIE 2022: 387-391 - [i7]Yuesong Zou, Ahmad Pesaranghader, Aman Verma, David L. Buckeridge, Yue Li:
Modeling electronic health record data using a knowledge-graph-embedded topic model. CoRR abs/2206.01436 (2022) - 2021
- [j36]Arash Shaban-Nejad, Martin Michalowski, John S. Brownstein, David L. Buckeridge:
Guest Editorial Explainable AI: Towards Fairness, Accountability, Transparency and Trust in Healthcare. IEEE J. Biomed. Health Informatics 25(7): 2374-2375 (2021) - [c47]Ziyang Song, Xavier Sumba Toral, Yixin Xu, Aihua Liu, Liming Guo, Guido Powell, Aman Verma, David L. Buckeridge, Ariane Marelli, Yue Li:
Supervised multi-specialist topic model with applications on large-scale electronic health record data. BCB 2021: 6:1-6:26 - [c46]Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Benjamin Müller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilaniuk, David L. Buckeridge, Gaétan Marceau-Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Christopher J. Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams:
Predicting Infectiousness for Proactive Contact Tracing. ICLR 2021 - [i6]Ziyang Song, Xavier Sumba Toral, Yixin Xu, Aihua Liu, Liming Guo, Guido Powell, Aman Verma, David L. Buckeridge, Ariane Marelli, Yue Li:
Supervised multi-specialist topic model with applications on large-scale electronic health record data. CoRR abs/2105.01238 (2021) - 2020
- [j35]Arash Shaban-Nejad, Martin Michalowski, Niels Peek, John S. Brownstein, David L. Buckeridge:
Seven pillars of precision digital health and medicine. Artif. Intell. Medicine 103: 101793 (2020) - [c45]Yue Li, Pratheeksha Nair, Zhi Wen, Imane Chafi, Anya Okhmatovskaia, Guido Powell, Yannan Shen, David L. Buckeridge:
Global Surveillance of COVID-19 by mining news media using a multi-source dynamic embedded topic model. BCB 2020: 34:1-34:14 - [c44]Anya Okhmatovskaia, David L. Buckeridge:
Intelligent Tools for Precision Public Health. MIE 2020: 858-863 - [p1]Xing Han Lu, Hiroshi Mamiya, Joseph Vybihal, Yu Ma, David L. Buckeridge:
Guiding Public Health Policy by Using Grocery Transaction Data to Predict Demand for Unhealthy Beverages. Precision Health and Medicine 2020: 169-176 - [i5]Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif B. Müller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilaniuk, David L. Buckeridge, Gaétan Marceau Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Chris Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams:
Predicting Infectiousness for Proactive Contact Tracing. CoRR abs/2010.12536 (2020) - [i4]Prateek Gupta, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan, Soren Harnois-Leblanc, Victor Schmidt, Pierre-Luc St-Charles, Tristan Deleu, Andrew Williams, Akshay Patel, Meng Qu, Olexa Bilaniuk, Gaétan Marceau Caron, Pierre Luc Carrier, Satya Ortiz-Gagné, Marc-Andre Rousseau, David L. Buckeridge, Joumana Ghosn, Yang Zhang, Bernhard Schölkopf, Jian Tang, Irina Rish, Christopher Joseph Pal, Joanna Merckx, Eilif B. Müller, Yoshua Bengio:
COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing. CoRR abs/2010.16004 (2020)
2010 – 2019
- 2019
- [j34]Mengru Yuan, Nikita Boston-Fisher, Yu Luo, Aman Verma, David L. Buckeridge:
A systematic review of aberration detection algorithms used in public health surveillance. J. Biomed. Informatics 94 (2019) - [c43]Xing Han Lu, Hiroshi Mamiya, Joseph Vybihal, Yu Ma, David L. Buckeridge:
Application of Machine Learning and Grocery Transaction Data to Forecast Effectiveness of Beverage Taxation. MedInfo 2019: 248-252 - [c42]Aude Motulsky, Claude Sicotte, Marie-Pierre Moreault, Tibor Schuster, Nadyne Girard, David L. Buckeridge, Marie-Pierre Gagnon, Robyn Tamblyn:
Using Health Information Exchange: Usage and Perceived Usefulness in Primary Care. MedInfo 2019: 709-713 - [c41]Guido Antonio Powell, Aman Verma, Yu T. Luo, David A. Stephens, David L. Buckeridge:
Modeling Chronic Obstructive Pulmonary Disease Progression Using Continuous-Time Hidden Markov Models. MedInfo 2019: 920-924 - [c40]Man Qing Liang, Vivek Gidla, Aman Verma, Daniala L. Weir, Robyn Tamblyn, David L. Buckeridge, Aude Motulsky:
Development of a Method for Extracting Structured Dose Information from Free-Text Electronic Prescriptions. MedInfo 2019: 1568-1569 - [c39]Bettina Habib, Santiago Márquez Fosser, David L. Buckeridge, Daniala L. Weir, Melissa Bustillo, Manish Thakur, Thai Tran, Aude Motulsky, André Bonnici, Emily Gibson McDonald, Todd C. Lee, Robyn Tamblyn:
Evaluation of a Mobile Application to Enhance Medication Management Following Hospital Discharge: Study Protocol for a Pilot Randomized Controlled Trial. MedInfo 2019: 1929-1930 - [i3]Nii Antiaye Addy, Arash Shaban-Nejad, David L. Buckeridge, Laurette Dubé:
An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada. CoRR abs/1911.09763 (2019) - 2018
- [j33]Babak Fotouhi, Naghmeh Momeni, Maria A. Riolo, David L. Buckeridge:
Statistical methods for constructing disease comorbidity networks from longitudinal inpatient data. Appl. Netw. Sci. 3(1): 46:1-46:34 (2018) - [j32]Robyn Tamblyn, Nancy Winslade, Todd C. Lee, Aude Motulsky, Ari Meguerditchian, Melissa Bustillo, Sarah Elsayed, David L. Buckeridge, Isabelle Couture, Christina J. Qian, Teresa Moraga, Allen Huang:
Improving patient safety and efficiency of medication reconciliation through the development and adoption of a computer-assisted tool with automated electronic integration of population-based community drug data: the RightRx project. J. Am. Medical Informatics Assoc. 25(5): 482-495 (2018) - [j31]Aude Motulsky, Daniala L. Weir, Isabelle Couture, Claude Sicotte, Marie-Pierre Gagnon, David L. Buckeridge, Robyn Tamblyn:
Usage and accuracy of medication data from nationwide health information exchange in Quebec, Canada. J. Am. Medical Informatics Assoc. 25(6): 722-729 (2018) - [j30]Arash Shaban-Nejad, Martin Michalowski, David L. Buckeridge:
Health intelligence: how artificial intelligence transforms population and personalized health. npj Digit. Medicine 1 (2018) - [c38]Hiroshi Mamiya, Xing Han Lu, Yu Ma, David L. Buckeridge:
Using Digital Purchasing Data to Generate Public Health Evidence: Learning Unhealthy Beverage Demand from Grocery Transaction Data. AAAI Workshops 2018: 465-469 - [i2]Aman Verma, Guido Powell, Yu Luo, David A. Stephens, David L. Buckeridge:
Modeling disease progression in longitudinal EHR data using continuous-time hidden Markov models. CoRR abs/1812.00528 (2018) - 2017
- [j29]Monica Anderson, Roman Barták, John S. Brownstein, David L. Buckeridge, Hoda Eldardiry, Christopher W. Geib, Maria L. Gini, Aaron Isaksen, Sarah Keren, Robert Laddaga, Viliam Lisý, Rodney Martin, David R. Martinez, Martin Michalowski, Loizos Michael, Reuth Mirsky, Thanh Hai Nguyen, Michael J. Paul, Enrico Pontelli, Scott Sanner, Arash Shaban-Nejad, Arunesh Sinha, Shirin Sohrabi, Kumar Sricharan, Biplav Srivastava, Mark Stefik, William W. Streilein, Nathan R. Sturtevant, Kartik Talamadupula, Michael Thielscher, Julian Togelius, Tran Cao Son, Long Tran-Thanh, Neal Wagner, Byron C. Wallace, Szymon Wilk, Jichen Zhu:
Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AI Mag. 38(3): 72-82 (2017) - [c37]Guido Powell, Yu T. Luo, Aman Verma, David A. Stephens, David L. Buckeridge:
Multidimensional and Longitudinal Indicators in Population Health. AAAI Workshops 2017 - [c36]Hiroshi Mamiya, Erica E. Moodie, David L. Buckeridge:
A novel application of point-of-sales grocery transaction data to enhance community nutrition monitoring. AMIA 2017 - [c35]Mengru Yuan, David L. Buckeridge, Guido Powell, Maxime Lavigne, Anya Okhmatovskaia:
Initial Usability Evaluation of a Knowledge-Based Population Health Information System: The Population Health Record (PopHR). AMIA 2017 - [c34]Arash Shaban-Nejad, Anya Okhmatovskaia, Eun Kyong Shin, Robert L. Davis, David L. Buckeridge:
POLE.VAULT: A Semantic Framework for Health Policy Evaluation and Logical Testing. MedInfo 2017: 1335 - 2016
- [j28]Stefano V. Albrecht, Bruno Bouchard, John S. Brownstein, David L. Buckeridge, Cornelia Caragea, Kevin M. Carter, Adnan Darwiche, Blaz Fortuna, Yannick Francillette, Sébastien Gaboury, C. Lee Giles, Marko Grobelnik, Estevam R. Hruschka Jr., Jeffrey O. Kephart, Parisa Kordjamshidi, Viliam Lisý, Daniele Magazzeni, João Marques-Silva, Pierre Marquis, David R. Martinez, Marek P. Michalowski, Arash Shaban-Nejad, Zeinab Noorian, Enrico Pontelli, Alex Rogers, Stephanie Rosenthal, Dan Roth, Arunesh Sinha, William W. Streilein, Sylvie Thiébaux, Tran Cao Son, Byron C. Wallace, Toby Walsh, Michael Witbrock, Jie Zhang:
Reports of the 2016 AAAI Workshop Program. AI Mag. 37(3): 99-108 (2016) - [j27]Melissa Caron, Robert Allard, Lucie Bédard, Jérôme Latreille, David L. Buckeridge:
Enteric disease episodes and the risk of acquiring a future sexually transmitted infection: a prediction model in Montreal residents. J. Am. Medical Informatics Assoc. 23(6): 1159-1165 (2016) - [j26]Arash Shaban-Nejad, Hiroshi Mamiya, Alexandre Riazanov, Alan J. Forster, Christopher J. O. Baker, Robyn Tamblyn, David L. Buckeridge:
From Cues to Nudge: A Knowledge-Based Framework for Surveillance of Healthcare-Associated Infections. J. Medical Syst. 40(1): 23:1-23:12 (2016) - [c33]Guido Powell, Kate Zinszer, Jahnavi Dhananjay, Chi Bahk, Lawrence C. Madoff, John S. Brownstein, Sabine Bergler, David L. Buckeridge:
Monitoring Discussion of Vaccine Adverse Events in the Media: Opportunities from the Vaccine Sentimeter. AAAI Workshop: WWW and Population Health Intelligence 2016 - [e2]Arash Shaban-Nejad, David L. Buckeridge, Byron C. Wallace, John S. Brownstein:
World Wide Web and Population Health Intelligence, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016. AAAI Technical Report WS-16-15, AAAI Press 2016 [contents] - 2015
- [j25]Stefano V. Albrecht, André da Motta Salles Barreto, Darius Braziunas, David L. Buckeridge, Heriberto Cuayáhuitl, Nina Dethlefs, Markus Endres, Amir-massoud Farahmand, Mark Fox, Lutz Frommberger, Sam Ganzfried, Yolanda Gil, Sébastien Guillet, Lawrence E. Hunter, Arnav Jhala, Kristian Kersting, George Dimitri Konidaris, Freddy Lécué, Sheila A. McIlraith, Sriraam Natarajan, Zeinab Noorian, David Poole, Rémi Ronfard, Alessandro Saffiotti, Arash Shaban-Nejad, Biplav Srivastava, Gerald Tesauro, Rosario Uceda-Sosa, Guy Van den Broeck, Martijn van Otterlo, Byron C. Wallace, Paul Weng, Jenna Wiens, Jie Zhang:
Reports of the AAAI 2014 Conference Workshops. AI Mag. 36(1): 87-98 (2015) - [j24]Christian M. Rochefort, Aman Verma, Tewodros Eguale, Todd C. Lee, David L. Buckeridge:
A novel method of adverse event detection can accurately identify venous thromboembolisms (VTEs) from narrative electronic health record data. J. Am. Medical Informatics Assoc. 22(1): 155-165 (2015) - [j23]Noémie Savard, Lucie Bédard, Robert Allard, David L. Buckeridge:
Using age, triage score, and disposition data from emergency department electronic records to improve Influenza-like illness surveillance. J. Am. Medical Informatics Assoc. 22(3): 688-696 (2015) - [j22]Nastaran Jafarpour, Masoumeh T. Izadi, Doina Precup, David L. Buckeridge:
Quantifying the determinants of outbreak detection performance through simulation and machine learning. J. Biomed. Informatics 53: 180-187 (2015) - [j21]Hiroshi Mamiya, Kevin Schwartzman, Aman Verma, Christian Jauvin, Marcel Behr, David L. Buckeridge:
Towards probabilistic decision support in public health practice: Predicting recent transmission of tuberculosis from patient attributes. J. Biomed. Informatics 53: 237-242 (2015) - [c32]Kate Zinszer, Anya Okhmatovskaia, Arash Shaban-Nejad, Lauren N. Carroll, Neil F. Abernethy, David L. Buckeridge:
The SDIDS System for Integrating Global Health Surveillance Data: An Example Application to Malaria Surveillance in Uganda. AMIA 2015 - [e1]Arash Shaban-Nejad, David L. Buckeridge, John S. Brownstein:
World Wide Web and Public Health Intelligence, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January, 2015. AAAI Technical Report WS-15-15, AAAI Press 2015 [contents] - [i1]Stefano V. Albrecht, J. Christopher Beck, David L. Buckeridge, Adi Botea, Cornelia Caragea, Chi-Hung Chi, Theodoros Damoulas, Bistra Dilkina, Eric Eaton, Pooyan Fazli, Sam Ganzfried, Marius Lindauer, Marlos C. Machado, Yuri Malitsky, Gary Marcus, Sebastiaan A. Meijer, Francesca Rossi, Arash Shaban-Nejad, Sylvie Thiébaux, Manuela M. Veloso, Toby Walsh, Can Wang, Jie Zhang, Yu Zheng:
Reports from the 2015 AAAI Workshop Program. AI Mag. 36(2): 90-101 (2015) - 2014
- [c31]Maxime Lavigne, Lam Dang-Duy, Catherine Ghassemian, Alexis Hamel, Anna Okhmatovskaia, Mojtaba Peyvandy, Arash Shaban-Nejad, David L. Buckeridge:
Implementation of a Population Health Record in Montreal, Canada. AMIA 2014 - [c30]Anya Okhmatovskaia, Arash Shaban-Nejad, Maxime Lavigne, David L. Buckeridge:
Addressing the Challenge of Encoding Causal Epidemiological Knowledge in Formal Ontologies: A Practical Perspective. MIE 2014: 1125-1129 - 2013
- [j20]Alexandre Riazanov, Artjom Klein, Arash Shaban-Nejad, Gregory W. Rose, Alan J. Forster, David L. Buckeridge, Christopher J. O. Baker:
Semantic querying of relational data for clinical intelligence: a semantic web services-based approach. J. Biomed. Semant. 4: 9 (2013) - [c29]Nastaran Jafarpour, Doina Precup, Masoumeh T. Izadi, David L. Buckeridge:
Using Hierarchical Mixture of Experts Model for Fusion of Outbreak Detection Methods. AMIA 2013 - [c28]Arian Hosseinzadeh, Masoumeh T. Izadi, Aman Verma, Doina Precup, David L. Buckeridge:
Assessing the Predictability of Hospital Readmission Using Machine Learning. IAAI 2013: 1532-1538 - [c27]Arash Shaban-Nejad, Christian Jauvin, Maxime Lavigne, Masoumeh T. Izadi, Luke Mondor, Anya Okhmatovskaia, David L. Buckeridge:
PopHR: An Integrated Semantic Framework for Population Health Surveillance. ICBO 2013: 118 - [c26]Arash Shaban-Nejad, Anya Okhmatovskaia, Masoumeh T. Izadi, Nona Naderi, Luke Mondor, Christian Jauvin, David L. Buckeridge:
PHIO: A Knowledge Base for Interpretation and Calculation of Public Health Indicators. MedInfo 2013: 1207 - [c25]Maxime Lavigne, Arash Shaban-Nejad, Anya Okhmatovskaia, Luke Mondor, David L. Buckeridge:
A Hybrid Natural Language Approach to Manage Semantic Interoperability for Public Health Analytics. ISWC (Posters & Demos) 2013: 269-272 - [c24]Stephanie Brien, Nona Naderi, Arash Shaban-Nejad, Luke Mondor, Doerthe Kroemker, David L. Buckeridge:
Vaccine attitude surveillance using semantic analysis: constructing a semantically annotated corpus. WWW (Companion Volume) 2013: 683-686 - 2012
- [j19]David L. Buckeridge, Masoumeh T. Izadi, Arash Shaban-Nejad, Luke Mondor, Christian Jauvin, Laurette Dubé, Yeona Jang, Robyn Tamblyn:
An infrastructure for real-time population health assessment and monitoring. IBM J. Res. Dev. 56(5): 2 (2012) - [j18]Robyn Tamblyn, Tewodros Eguale, David L. Buckeridge, Allen Huang, James A. Hanley, Kristen Reidel, Sherry Shi, Nancy Winslade:
The effectiveness of a new generation of computerized drug alerts in reducing the risk of injury from drug side effects: a cluster randomized trial. J. Am. Medical Informatics Assoc. 19(4): 635-643 (2012) - [j17]Taha A. Kass-Hout, David L. Buckeridge, John S. Brownstein, Zhiheng Xu, Paul McMurray, Charles K. T. Ishikawa, Julia E. Gunn, Barbara L. Massoudi:
Self-reported fever and measured temperature in emergency department records used for syndromic surveillance. J. Am. Medical Informatics Assoc. 19(5): 775-776 (2012) - [j16]Taha A. Kass-Hout, Zhiheng Xu, Paul McMurray, Soyoun Park, David L. Buckeridge, John S. Brownstein, Lyn Finelli, Samuel L. Groseclose:
Application of change point analysis to daily influenza-like illness emergency department visits. J. Am. Medical Informatics Assoc. 19(6): 1075-1081 (2012) - [j15]Zhongjie Li, Shengjie Lai, David L. Buckeridge, Honglong Zhang, Yajia Lan, Weizhong Yang:
Adjusting outbreak detection algorithms for surveillance during epidemic and non-epidemic periods. J. Am. Medical Informatics Assoc. 19(e1) (2012) - [j14]David L. Buckeridge:
Infectious Disease Informatics: Syndromic Surveillance for Public Health and Bio-Defense, Hsinchun Chen, Daniel Zeng, Ping Yan. Springer (2010). J. Biomed. Informatics 45(2): 388-389 (2012) - [c23]Arian Hosseinzadeh, Masoumeh T. Izadi, Doina Precup, David L. Buckeridge:
Mining Administrative Data to Predict Falls in the Elderly Population. Canadian AI 2012: 305-311 - [c22]Arash Shaban-Nejad, Yu Ma, Masoumeh T. Izadi, Laurette Dubé, Luke Mondor, David L. Buckeridge:
A knowledge-based architecture for integrating and interpreting population health data. DG.O 2012: 285-286 - [c21]Anya Okhmatovskaia, David L. Buckeridge, Arash Shaban-Nejad, Andrew Sutcliffe, Philippe Finès, Jacek A. Kopec, Michael C. Wolfson:
SimPHO: an ontology for simulation modeling of population health. WSC 2012: 79:1-79:12 - [c20]Jinan El-Hachem, Arash Shaban-Nejad, Volker Haarslev, Laurette Dubé, David L. Buckeridge:
An OWL 2-Based Knowledge Platform Combining the Social and Semantic Webs for an Ambient Childhood Obesity Prevention System. ANT/MobiWIS 2012: 110-119 - [c19]Arash Shaban-Nejad, Alexandre Riazanov, Katia M. L. Charland, Gregory W. Rose, Christopher J. O. Baker, Robyn Tamblyn, Alan J. Forster, David L. Buckeridge:
HAIKU: A Semantic Framework for Surveillance of Healthcare-Associated Infections. ANT/MobiWIS 2012: 1073-1079 - 2011
- [j13]Khaled El Emam, Jun Hu, Jay Mercer, Liam Peyton, Murat Kantarcioglu, Bradley A. Malin, David L. Buckeridge, Saeed Samet, Craig Earle:
A secure protocol for protecting the identity of providers when disclosing data for disease surveillance. J. Am. Medical Informatics Assoc. 18(3): 212-217 (2011) - [j12]Emily H. Chan, Robyn Tamblyn, Katia M. L. Charland, David L. Buckeridge:
Outpatient physician billing data for age and setting specific syndromic surveillance of influenza-like illnesses. J. Biomed. Informatics 44(2): 221-228 (2011) - [j11]Khaled El Emam, David L. Buckeridge, Robyn Tamblyn, Angelica Neisa, Elizabeth Jonker, Aman Verma:
The re-identification risk of Canadians from longitudinal demographics. BMC Medical Informatics Decis. Mak. 11: 46 (2011) - [c18]Arash Shaban-Nejad, David L. Buckeridge, Laurette Dubé:
COPE: Childhood Obesity Prevention [Knowledge] Enterprise. AIME 2011: 225-229 - [c17]Arash Shaban-Nejad, Gregory W. Rose, Anya Okhmatovskaia, Alexandre Riazanov, Christopher J. O. Baker, Robyn Tamblyn, Alan J. Forster, David L. Buckeridge:
Knowledge-based Surveillance for Preventing Postoperative Surgical Site Infection. MIE 2011: 145-149 - [c16]Alexandre Riazanov, Gregory W. Rose, Artjom Klein, Alan J. Forster, Christopher J. O. Baker, Arash Shaban-Nejad, David L. Buckeridge:
Towards clinical intelligence with SADI semantic web services: a case study with hospital-acquired infections data. SWAT4LS 2011: 106-113 - 2010
- [j10]Wendy Webber Chapman, John N. Dowling, Atar Baer, David L. Buckeridge, Dennis Cochrane, Michael A. Conway, Peter L. Elkin, Jeremy U. Espino, Julia E. Gunn, Craig M. Hales, Lori Hutwagner, Mikaela Keller, Catherine Larson, Rebecca Noe, Anya Okhmatovskaia, Karen Olson, Marc Paladini, Matthew Scholer, Carol Sniegoski, David Thompson, Bill Lober:
Developing syndrome definitions based on consensus and current use. J. Am. Medical Informatics Assoc. 17(5): 595-601 (2010)
2000 – 2009
- 2009
- [j9]Martin J. O'Connor, Csongor Nyulas, Samson W. Tu, David L. Buckeridge, Anna Okhmatovskaia, Mark A. Musen:
Software-engineering challenges of building and deploying reusable problem solvers. Artif. Intell. Eng. Des. Anal. Manuf. 23(4): 339-356 (2009) - [j8]Hsinchun Chen, Daniel Zeng, David L. Buckeridge, Masoumeh T. Izadi, Aman Verma, Anna Okhmatovskaia, Xiaohua Hu, Xiajiong Shen, Zhidong Cao, Fei-Yue Wang, Xiaolong Zheng, Quanyi Wang:
AI for Global Disease Surveillance. IEEE Intell. Syst. 24(6): 66-82 (2009) - [c15]Masoumeh T. Izadi, David L. Buckeridge, Anna Okhmatovskaia, Samson W. Tu, Martin J. O'Connor, Csongor Nyulas, Mark A. Musen:
A Bayesian Network Model for Analysis of Detection Performance in Surveillance Systems. AMIA 2009 - [c14]Stéphane Ross, Masoumeh T. Izadi, Mark Mercer, David L. Buckeridge:
Sensitivity Analysis of POMDP Value Functions. ICMLA 2009: 317-323 - 2008
- [j7]David L. Buckeridge, Anna Okhmatovskaia, Samson W. Tu, Martin J. O'Connor, Csongor Nyulas, Mark A. Musen:
Model Formulation: Understanding Detection Performance in Public Health Surveillance: Modeling Aberrancy-detection Algorithms. J. Am. Medical Informatics Assoc. 15(6): 760-769 (2008) - [c13]David L. Buckeridge, Anna Okhmatovskaia, Samson W. Tu, Martin J. O'Connor, Csongor Nyulas, Mark A. Musen:
Predicting Outbreak Detection in Public Health Surveillance: Quantitative Analysis to Enable Evidence-Based Method Selection. AMIA 2008 - [c12]Csongor Nyulas, Martin J. O'Connor, Samson W. Tu, David L. Buckeridge, Anna Okhmatovskaia, Mark A. Musen:
An Ontology-Driven Framework for Deploying JADE Agent Systems. IAT 2008: 573-577 - 2007
- [j6]Ronald M. Bloom, David L. Buckeridge, Karen E. Cheng:
Methods Paper: Finding Leading Indicators for Disease Outbreaks: Filtering, Cross-correlation, and Caveats. J. Am. Medical Informatics Assoc. 14(1): 76-85 (2007) - [j5]David L. Buckeridge:
Outbreak detection through automated surveillance: A review of the determinants of detection. J. Biomed. Informatics 40(4): 370-379 (2007) - [c11]Masoumeh T. Izadi, David L. Buckeridge:
Optimizing Anthrax Outbreak Detection Using Reinforcement Learning. AAAI 2007: 1781-1786 - [c10]Masoumeh T. Izadi, David L. Buckeridge:
Decision Theoretic Analysis of Improving Epidemic Detection. AMIA 2007 - [c9]David L. Buckeridge, Aman Verma, Robyn Tamblyn:
Ambulatory e-Prescribing: Evaluating a Novel Surveillance Data Source. BioSurveillance 2007: 190-195 - 2005
- [j4]Monica Crubézy, Martin J. O'Connor, David L. Buckeridge, Zachary Pincus, Mark A. Musen:
Ontology-Centered Syndromic Surveillance for Bioterrorism. IEEE Intell. Syst. 20(5): 26-35 (2005) - [j3]David L. Buckeridge, Howard S. Burkom, Murray Campbell, William R. Hogan, Andrew W. Moore:
Algorithms for rapid outbreak detection: a research synthesis. J. Biomed. Informatics 38(2): 99-113 (2005) - [c8]Mark A. Musen, Monica Crubézy, Martin J. O'Connor, David L. Buckeridge:
Knowledge-Based Syndromic Surveillance for Bioterrorism. AAAI Spring Symposium: AI Technologies for Homeland Security 2005: 86-90 - [c7]Dana Teltsch, David Pinelle, Nancy Winslade, James A. Hanley, David L. Buckeridge, Robyn Tamblyn:
Decision Support for Community-Based Empirical Antibiotic Prescribing. AMIA 2005 - 2004
- [j2]Kenneth D. Mandl, J. Marc Overhage, Michael M. Wagner, William B. Lober, Paola Sebastiani, Farzad Mostashari, Julie A. Pavlin, Per H. Gesteland, Tracee Treadwell, Eileen Koski, Lori Hutwagner, David L. Buckeridge, Raymond D. Aller, Shaun J. Grannis:
Review Paper: Implementing Syndromic Surveillance: A Practical Guide Informed by the Early Experience. J. Am. Medical Informatics Assoc. 11(2): 141-150 (2004) - [c6]David L. Buckeridge, Martin J. O'Connor, Haobo Xu, Mark A. Musen:
A Knowledge-Based Framework for Deploying Surveillance Problem Solvers. IKE 2004: 28-32 - 2003
- [c5]David L. Buckeridge, Mark A. Musen, Paul Switzer, Monica Crubézy:
An Analytic Framework for Space-Time Aberrancy Detection in Public Health Surveillance Data. AMIA 2003 - [c4]Martin J. O'Connor, David L. Buckeridge, Michael Choy, Monica Crubézy, Zachary Pincus, Mark A. Musen:
BioSTORM: A System for Automated Surveillance of Diverse Data Sources. AMIA 2003 - 2002
- [j1]David L. Buckeridge, Vivek Goel:
Medical informatics in an undergraduate curriculum: a qualitative study. BMC Medical Informatics Decis. Mak. 2: 6 (2002) - [c3]David L. Buckeridge, Justin Graham, Martin J. O'Connor, Michael Choy, Samson W. Tu, Mark A. Musen:
Knowledge-based bioterrorism surveillance. AMIA 2002 - [c2]