David L. Buckeridge

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 38

Top Topics

Outbreak Detection

Top Venues

J. Am. Medical Informatics Assoc.

J. Biomed. Informatics

Publications

Zihao Fu, Meiru Zhang, Zaiqiao Meng, Yannan Shen, David L. Buckeridge, Nigel Collier
BAND: Biomedical Alert News Dataset. AAAI (2024)
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) (2024)
Zihao Fu, Meiru Zhang, Zaiqiao Meng, Yannan Shen, Anya Okhmatovskaia, David L. Buckeridge, Nigel Collier
BAND: Biomedical Alert News Dataset. CoRR (2023)
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)
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 (2022)
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 (2022)
Yuesong Zou, Ahmad Pesaranghader, Aman Verma, David L. Buckeridge, Yue Li
Modeling electronic health record data using a knowledge-graph-embedded topic model. CoRR (2022)
Ziyang Song, Yuanyi Hu, Aman Verma, David L. Buckeridge, Yue Li
Automatic Phenotyping by a Seed-guided Topic Model. KDD (2022)
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) (2022)
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) (2022)
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) (2021)
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)
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 (2021)
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)
Anya Okhmatovskaia, David L. Buckeridge
Intelligent Tools for Precision Public Health. MIE (2020)
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 (2020)
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)
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)
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)
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)
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 (2019)
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)
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)
Arash Shaban-Nejad, Martin Michalowski, David L. Buckeridge
Health intelligence: how artificial intelligence transforms population and personalized health. npj Digit. Medicine 1 (2018)
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) (2018)
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 (2018)
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) (2018)
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) (2018)
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)
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)
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)
Guido Powell, Yu T. Luo, Aman Verma, David A. Stephens, David L. Buckeridge
Multidimensional and Longitudinal Indicators in Population Health. AAAI Workshops (2017)
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)
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) (2017)
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 J. Witbrock, Jie Zhang
Reports of the 2016 AAAI Workshop Program. AI Mag. 37 (3) (2016)
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) (2016)
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) (2016)
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)
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 (2015)
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) (2015)
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) (2015)
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)
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) (2015)
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 (2015)
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) (2015)
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)
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)
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)
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)
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)
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 (2013)
Arian Hosseinzadeh, Masoumeh T. Izadi, Aman Verma, Doina Precup, David L. Buckeridge
Assessing the Predictability of Hospital Readmission Using Machine Learning. IAAI (2013)
Nastaran Jafarpour, Doina Precup, Masoumeh T. Izadi, David L. Buckeridge
Using Hierarchical Mixture of Experts Model for Fusion of Outbreak Detection Methods. AMIA (2013)
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)
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) (2012)
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) (2012)
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)
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)
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) (2012)
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)
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) (2012)
Arian Hosseinzadeh, Masoumeh T. Izadi, Doina Precup, David L. Buckeridge
Mining Administrative Data to Predict Falls in the Elderly Population. Canadian Conference on AI (2012)
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)
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)
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) (2012)
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)
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) (2011)
Arash Shaban-Nejad, David L. Buckeridge, Laurette Dubé
COPE: Childhood Obesity Prevention [Knowledge] Enterprise. AIME (2011)
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)
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) (2011)
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 (2011)
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) (2010)
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) (2009)
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)
Stéphane Ross, Masoumeh T. Izadi, Mark Mercer, David L. Buckeridge
Sensitivity Analysis of POMDP Value Functions. ICMLA (2009)
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) (2009)
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) (2008)
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)
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)
Masoumeh T. Izadi, David L. Buckeridge
Optimizing Anthrax Outbreak Detection Using Reinforcement Learning. AAAI (2007)
David L. Buckeridge
Outbreak detection through automated surveillance: A review of the determinants of detection. J. Biomed. Informatics 40 (4) (2007)
Masoumeh T. Izadi, David L. Buckeridge
Decision Theoretic Analysis of Improving Epidemic Detection. AMIA (2007)
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) (2007)
David L. Buckeridge, Aman Verma, Robyn Tamblyn
Ambulatory e-Prescribing: Evaluating a Novel Surveillance Data Source. BioSurveillance (2007)
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) (2005)
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) (2005)
Dana Teltsch, David Pinelle, Nancy Winslade, James A. Hanley, David L. Buckeridge, Robyn Tamblyn
Decision Support for Community-Based Empirical Antibiotic Prescribing. AMIA (2005)
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)
David L. Buckeridge, Martin J. O'Connor, Haobo Xu, Mark A. Musen
A Knowledge-Based Framework for Deploying Surveillance Problem Solvers. IKE (2004)
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) (2004)
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)
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)
David L. Buckeridge, Vivek Goel
Medical informatics in an undergraduate curriculum: a qualitative study. BMC Medical Informatics Decis. Mak. 2 (2002)
Justin Graham, David L. Buckeridge, Michael Choy, Mark A. Musen
Conceptual Heterogeneity Complicates Automated Syndromic Surveillance for Bioterrorism. AMIA (2002)
David L. Buckeridge, Justin Graham, Martin J. O'Connor, Michael Choy, Samson W. Tu, Mark A. Musen
Knowledge-based bioterrorism surveillance. AMIA (2002)
Daniel Gordon, Kevin J. Leonard, Michael Carter, David L. Buckeridge
What Is Happenning In Canadian Health Informatics Research and Education? AMIA (2000)