What Is Happenning In Canadian Health Informatics Research and Education? - Daniel Gordon; Kevin J. Leonard; Michael Carter; David L. Buckeridge (AMIA, 2000)

Knowledge-based bioterrorism surveillance. - David L. Buckeridge; Justin Graham; Martin J. O'Connor; Michael Choy; Samson W. Tu; Mark A. Musen (AMIA, 2002)

Conceptual Heterogeneity Complicates Automated Syndromic Surveillance for Bioterrorism. - Justin Graham; David L. Buckeridge; Michael Choy; Mark A. Musen (AMIA, 2002)

Medical informatics in an undergraduate curriculum: a qualitative study. - David L. Buckeridge; Vivek Goel (BMC Medical Informatics Decis. Mak., 2002)

An Analytic Framework for Space-Time Aberrancy Detection in Public Health Surveillance Data. - David L. Buckeridge; Mark A. Musen; Paul Switzer; Monica Crubézy (AMIA, 2003)

BioSTORM: A System for Automated Surveillance of Diverse Data Sources. - Martin J. O'Connor; David L. Buckeridge; Michael Choy; Monica Crubézy; Zachary Pincus; Mark A. Musen (AMIA, 2003)

A Knowledge-Based Framework for Deploying Surveillance Problem Solvers. - David L. Buckeridge; Martin J. O'Connor; Haobo Xu; Mark A. Musen (IKE, 2004)

Review Paper: Implementing Syndromic Surveillance: A Practical Guide Informed by the Early Experience. - Kenneth D. Mandl; J. Marc Overhage; Michael M. Wagner 001; William B. Lober; Paola Sebastiani; Farzad Mostashari; Julie A. Pavlin; Per H. Gesteland; Tracee Treadwell; Eileen Koski; Lori Hutwagner; David L. Buckeridge; et al. (J. Am. Medical Informatics Assoc., 2004)

Knowledge-Based Syndromic Surveillance for Bioterrorism. - Mark A. Musen; Monica Crubézy; Martin J. O'Connor; David L. Buckeridge (AAAI Spring Symposium: AI Technologies for Homeland Security, 2005)

Decision Support for Community-Based Empirical Antibiotic Prescribing. - Dana Teltsch; David Pinelle; Nancy Winslade; James A. Hanley; David L. Buckeridge; Robyn Tamblyn (AMIA, 2005)

Ontology-Centered Syndromic Surveillance for Bioterrorism. - Monica Crubézy; Martin J. O'Connor; David L. Buckeridge; Zachary Pincus; Mark A. Musen (IEEE Intell. Syst., 2005)

Algorithms for rapid outbreak detection: a research synthesis. - David L. Buckeridge; Howard S. Burkom; Murray Campbell; William R. Hogan; Andrew W. Moore 001 (J. Biomed. Informatics, 2005)

Optimizing Anthrax Outbreak Detection Using Reinforcement Learning. - Masoumeh T. Izadi; David L. Buckeridge (AAAI, 2007)

Decision Theoretic Analysis of Improving Epidemic Detection. - Masoumeh T. Izadi; David L. Buckeridge (AMIA, 2007)

Ambulatory e-Prescribing: Evaluating a Novel Surveillance Data Source. - David L. Buckeridge; Aman Verma; Robyn Tamblyn (BioSurveillance, 2007)

Methods Paper: Finding Leading Indicators for Disease Outbreaks: Filtering, Cross-correlation, and Caveats. - Ronald M. Bloom; David L. Buckeridge; Karen E. Cheng (J. Am. Medical Informatics Assoc., 2007)

Outbreak detection through automated surveillance: A review of the determinants of detection. - David L. Buckeridge (J. Biomed. Informatics, 2007)

Predicting Outbreak Detection in Public Health Surveillance: Quantitative Analysis to Enable Evidence-Based Method Selection. - David L. Buckeridge; Anna Okhmatovskaia; Samson W. Tu; Martin J. O'Connor; Csongor Nyulas; Mark A. Musen (AMIA, 2008)

An Ontology-Driven Framework for Deploying JADE Agent Systems. - Csongor Nyulas; Martin J. O'Connor; Samson W. Tu; David L. Buckeridge; Anna Okhmatovskaia; Mark A. Musen (IAT, 2008)

Model Formulation: Understanding Detection Performance in Public Health Surveillance: Modeling Aberrancy-detection Algorithms. - David L. Buckeridge; Anna Okhmatovskaia; Samson W. Tu; Martin J. O'Connor; Csongor Nyulas; Mark A. Musen (J. Am. Medical Informatics Assoc., 2008)

A Bayesian Network Model for Analysis of Detection Performance in Surveillance Systems. - Masoumeh T. Izadi; David L. Buckeridge; Anna Okhmatovskaia; Samson W. Tu; Martin J. O'Connor; Csongor Nyulas; Mark A. Musen (AMIA, 2009)

Sensitivity Analysis of POMDP Value Functions. - Stéphane Ross; Masoumeh T. Izadi; Mark Mercer; David L. Buckeridge (ICMLA, 2009)

Software-engineering challenges of building and deploying reusable problem solvers. - Martin J. O'Connor; Csongor Nyulas; Samson W. Tu; David L. Buckeridge; Anna Okhmatovskaia; Mark A. Musen (Artif. Intell. Eng. Des. Anal. Manuf., 2009)

AI for Global Disease Surveillance. - Hsinchun Chen; Daniel Zeng 001; David L. Buckeridge; Masoumeh T. Izadi; Aman Verma; Anna Okhmatovskaia; Xiaohua Hu 001; Xiajiong Shen; Zhidong Cao; Fei-Yue Wang 001; Xiaolong Zheng 001; Quanyi Wang (IEEE Intell. Syst., 2009)

Developing syndrome definitions based on consensus and current use. - 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; et al. (J. Am. Medical Informatics Assoc., 2010)

COPE: Childhood Obesity Prevention [Knowledge] Enterprise. - Arash Shaban-Nejad; David L. Buckeridge; Laurette Dubé (AIME, 2011)

Knowledge-based Surveillance for Preventing Postoperative Surgical Site Infection. - Arash Shaban-Nejad; Gregory W. Rose; Anya Okhmatovskaia; Alexandre Riazanov; Christopher J. O. Baker; Robyn Tamblyn; Alan J. Forster; David L. Buckeridge (MIE, 2011)

Towards clinical intelligence with SADI semantic web services: a case study with hospital-acquired infections data. - Alexandre Riazanov; Gregory W. Rose; Artjom Klein; Alan J. Forster; Christopher J. O. Baker; Arash Shaban-Nejad; David L. Buckeridge (SWAT4LS, 2011)

A secure protocol for protecting the identity of providers when disclosing data for disease surveillance. - Khaled El Emam; Jun Hu; Jay Mercer; Liam Peyton; Murat Kantarcioglu; Bradley A. Malin; David L. Buckeridge; Saeed Samet; Craig Earle (J. Am. Medical Informatics Assoc., 2011)

Outpatient physician billing data for age and setting specific syndromic surveillance of influenza-like illnesses. - Emily H. Chan; Robyn Tamblyn; Katia M. L. Charland; David L. Buckeridge (J. Biomed. Informatics, 2011)

The re-identification risk of Canadians from longitudinal demographics. - Khaled El Emam; David L. Buckeridge; Robyn Tamblyn; Angelica Neisa; Elizabeth Jonker; Aman Verma (BMC Medical Informatics Decis. Mak., 2011)

Mining Administrative Data to Predict Falls in the Elderly Population. - Arian Hosseinzadeh; Masoumeh T. Izadi; Doina Precup; David L. Buckeridge (Canadian AI, 2012)

A knowledge-based architecture for integrating and interpreting population health data. - Arash Shaban-Nejad; Yu Ma; Masoumeh T. Izadi; Laurette Dubé; Luke Mondor; David L. Buckeridge (DG.O, 2012)

SimPHO: an ontology for simulation modeling of population health. - Anya Okhmatovskaia; David L. Buckeridge; Arash Shaban-Nejad; Andrew Sutcliffe; Philippe Finès; Jacek A. Kopec; Michael C. Wolfson (WSC, 2012)

An infrastructure for real-time population health assessment and monitoring. - David L. Buckeridge; Masoumeh T. Izadi; Arash Shaban-Nejad; Luke Mondor; Christian Jauvin; Laurette Dubé; Yeona Jang; Robyn Tamblyn (IBM J. Res. Dev., 2012)

Self-reported fever and measured temperature in emergency department records used for syndromic surveillance. - Taha A. Kass-Hout; David L. Buckeridge; John S. Brownstein; Zhiheng Xu; Paul McMurray; Charles K. T. Ishikawa; Julia E. Gunn; Barbara L. Massoudi (J. Am. Medical Informatics Assoc., 2012)

Application of change point analysis to daily influenza-like illness emergency department visits. - Taha A. Kass-Hout; Zhiheng Xu; Paul McMurray; Soyoun Park; David L. Buckeridge; John S. Brownstein; Lyn Finelli; Samuel L. Groseclose (J. Am. Medical Informatics Assoc., 2012)

Adjusting outbreak detection algorithms for surveillance during epidemic and non-epidemic periods. - Zhongjie Li; Shengjie Lai; David L. Buckeridge; Honglong Zhang; Yajia Lan; Weizhong Yang (J. Am. Medical Informatics Assoc., 2012)

The effectiveness of a new generation of computerized drug alerts in reducing the risk of injury from drug side effects: a cluster randomized trial. - Robyn Tamblyn; Tewodros Eguale; David L. Buckeridge; Allen Huang; James A. Hanley; Kristen Reidel; Sherry Shi; Nancy Winslade (J. Am. Medical Informatics Assoc., 2012)

Infectious Disease Informatics: Syndromic Surveillance for Public Health and Bio-Defense, Hsinchun Chen, Daniel Zeng, Ping Yan. Springer (2010). - David L. Buckeridge (J. Biomed. Informatics, 2012)

An OWL 2-Based Knowledge Platform Combining the Social and Semantic Webs for an Ambient Childhood Obesity Prevention System. - Jinan El-Hachem; Arash Shaban-Nejad; Volker Haarslev; Laurette Dubé; David L. Buckeridge (ANT/MobiWIS, 2012)

HAIKU: A Semantic Framework for Surveillance of Healthcare-Associated Infections. - Arash Shaban-Nejad; Alexandre Riazanov; Katia M. L. Charland; Gregory W. Rose; Christopher J. O. Baker; Robyn Tamblyn; Alan J. Forster; David L. Buckeridge (ANT/MobiWIS, 2012)

Using Hierarchical Mixture of Experts Model for Fusion of Outbreak Detection Methods. - Nastaran Jafarpour; Doina Precup; Masoumeh T. Izadi; David L. Buckeridge (AMIA, 2013)

Assessing the Predictability of Hospital Readmission Using Machine Learning. - Arian Hosseinzadeh; Masoumeh T. Izadi; Aman Verma; Doina Precup; David L. Buckeridge (IAAI, 2013)

PopHR: An Integrated Semantic Framework for Population Health Surveillance. - Arash Shaban-Nejad; Christian Jauvin; Maxime Lavigne; Masoumeh T. Izadi; Luke Mondor; Anya Okhmatovskaia; David L. Buckeridge (ICBO, 2013)

PHIO: A Knowledge Base for Interpretation and Calculation of Public Health Indicators. - Arash Shaban-Nejad; Anya Okhmatovskaia; Masoumeh T. Izadi; Nona Naderi; Luke Mondor; Christian Jauvin; David L. Buckeridge (MedInfo, 2013)

A Hybrid Natural Language Approach to Manage Semantic Interoperability for Public Health Analytics. - Maxime Lavigne; Arash Shaban-Nejad; Anya Okhmatovskaia; Luke Mondor; David L. Buckeridge (ISWC (Posters & Demos), 2013)

Vaccine attitude surveillance using semantic analysis: constructing a semantically annotated corpus. - Stephanie Brien; Nona Naderi; Arash Shaban-Nejad; Luke Mondor; Doerthe Kroemker; David L. Buckeridge (WWW (Companion Volume), 2013)

Semantic querying of relational data for clinical intelligence: a semantic web services-based approach. - Alexandre Riazanov; Artjom Klein; Arash Shaban-Nejad; Gregory W. Rose; Alan J. Forster; David L. Buckeridge; Christopher J. O. Baker (J. Biomed. Semant., 2013)

Implementation of a Population Health Record in Montreal, Canada. - Maxime Lavigne; Lam Dang-Duy; Catherine Ghassemian; Alexis Hamel; Anna Okhmatovskaia; Mojtaba Peyvandy; Arash Shaban-Nejad; David L. Buckeridge (AMIA, 2014)

Addressing the Challenge of Encoding Causal Epidemiological Knowledge in Formal Ontologies: A Practical Perspective. - Anya Okhmatovskaia; Arash Shaban-Nejad; Maxime Lavigne; David L. Buckeridge (MIE, 2014)

The SDIDS System for Integrating Global Health Surveillance Data: An Example Application to Malaria Surveillance in Uganda. - Kate Zinszer; Anya Okhmatovskaia; Arash Shaban-Nejad; Lauren N. Carroll; Neil F. Abernethy; David L. Buckeridge (AMIA, 2015)

Reports of the AAAI 2014 Conference Workshops. - 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; et al. (AI Mag., 2015)

Reports from the 2015 AAAI Workshop Program. - 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; et al. (AI Mag., 2015)

A novel method of adverse event detection can accurately identify venous thromboembolisms (VTEs) from narrative electronic health record data. - Christian M. Rochefort; Aman Verma; Tewodros Eguale; Todd C. Lee; David L. Buckeridge (J. Am. Medical Informatics Assoc., 2015)

Using age, triage score, and disposition data from emergency department electronic records to improve Influenza-like illness surveillance. - Noémie Savard; Lucie Bédard; Robert Allard; David L. Buckeridge (J. Am. Medical Informatics Assoc., 2015)

Quantifying the determinants of outbreak detection performance through simulation and machine learning. - Nastaran Jafarpour; Masoumeh T. Izadi; Doina Precup; David L. Buckeridge (J. Biomed. Informatics, 2015)

Towards probabilistic decision support in public health practice: Predicting recent transmission of tuberculosis from patient attributes. - Hiroshi Mamiya; Kevin Schwartzman; Aman Verma; Christian Jauvin; Marcel Behr; David L. Buckeridge (J. Biomed. Informatics, 2015)

Monitoring Discussion of Vaccine Adverse Events in the Media: Opportunities from the Vaccine Sentimeter. - Guido Powell; Kate Zinszer; Jahnavi Dhananjay; Chi Bahk; Lawrence C. Madoff; John S. Brownstein; Sabine Bergler; David L. Buckeridge (AAAI Workshop: WWW and Population Health Intelligence, 2016)

Reports of the 2016 AAAI Workshop Program. - Stefano V. Albrecht; Bruno Bouchard 001; John S. Brownstein; David L. Buckeridge; Cornelia Caragea; Kevin M. Carter 001; Adnan Darwiche; Blaz Fortuna; Yannick Francillette; Sébastien Gaboury; C. Lee Giles; Marko Grobelnik; et al. (AI Mag., 2016)

Enteric disease episodes and the risk of acquiring a future sexually transmitted infection: a prediction model in Montreal residents. - Melissa Caron; Robert Allard; Lucie Bédard; Jérôme Latreille; David L. Buckeridge (J. Am. Medical Informatics Assoc., 2016)

From Cues to Nudge: A Knowledge-Based Framework for Surveillance of Healthcare-Associated Infections. - Arash Shaban-Nejad; Hiroshi Mamiya; Alexandre Riazanov; Alan J. Forster; Christopher J. O. Baker; Robyn Tamblyn; David L. Buckeridge (J. Medical Syst., 2016)

Multidimensional and Longitudinal Indicators in Population Health. - Guido Powell; Yu T. Luo; Aman Verma; David A. Stephens; David L. Buckeridge (AAAI Workshops, 2017)

A novel application of point-of-sales grocery transaction data to enhance community nutrition monitoring. - Hiroshi Mamiya; Erica E. Moodie; David L. Buckeridge (AMIA, 2017)

Initial Usability Evaluation of a Knowledge-Based Population Health Information System: The Population Health Record (PopHR). - Mengru Yuan; David L. Buckeridge; Guido Powell; Maxime Lavigne; Anya Okhmatovskaia (AMIA, 2017)

POLE.VAULT: A Semantic Framework for Health Policy Evaluation and Logical Testing. - Arash Shaban-Nejad; Anya Okhmatovskaia; Eun Kyong Shin; Robert L. Davis; David L. Buckeridge (MedInfo, 2017)

Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. - Monica Anderson 001; 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; et al. (AI Mag., 2017)

Using Digital Purchasing Data to Generate Public Health Evidence: Learning Unhealthy Beverage Demand from Grocery Transaction Data. - Hiroshi Mamiya; Xing Han Lù; Yu Ma; David L. Buckeridge (AAAI Workshops, 2018)

Statistical methods for constructing disease comorbidity networks from longitudinal inpatient data. - Babak Fotouhi; Naghmeh Momeni; Maria A. Riolo; David L. Buckeridge (Appl. Netw. Sci., 2018)

Modeling disease progression in longitudinal EHR data using continuous-time hidden Markov models. - Aman Verma; Guido Powell; Yu Luo 005; David A. Stephens; David L. Buckeridge (CoRR, 2018)

Usage and accuracy of medication data from nationwide health information exchange in Quebec, Canada. - Aude Motulsky; Daniala L. Weir; Isabelle Couture; Claude Sicotte; Marie-Pierre Gagnon; David L. Buckeridge; Robyn Tamblyn (J. Am. Medical Informatics Assoc., 2018)

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. - 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 (J. Am. Medical Informatics Assoc., 2018)

Health intelligence: how artificial intelligence transforms population and personalized health. - Arash Shaban-Nejad; Martin Michalowski; David L. Buckeridge (npj Digit. Medicine, 2018)

Evaluation of a Mobile Application to Enhance Medication Management Following Hospital Discharge: Study Protocol for a Pilot Randomized Controlled Trial. - 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 (MedInfo, 2019)

Development of a Method for Extracting Structured Dose Information from Free-Text Electronic Prescriptions. - Man Qing Liang; Vivek Gidla; Aman Verma; Daniala L. Weir; Robyn Tamblyn; David L. Buckeridge; Aude Motulsky (MedInfo, 2019)

Application of Machine Learning and Grocery Transaction Data to Forecast Effectiveness of Beverage Taxation. - Xing Han Lù; Hiroshi Mamiya; Joseph Vybihal; Yu Ma; David L. Buckeridge (MedInfo, 2019)

Using Health Information Exchange: Usage and Perceived Usefulness in Primary Care. - Aude Motulsky; Claude Sicotte; Marie-Pierre Moreault; Tibor Schuster; Nadyne Girard; David L. Buckeridge; Marie-Pierre Gagnon; Robyn Tamblyn (MedInfo, 2019)

Modeling Chronic Obstructive Pulmonary Disease Progression Using Continuous-Time Hidden Markov Models. - Guido Antonio Powell; Aman Verma; Yu T. Luo; David A. Stephens; David L. Buckeridge (MedInfo, 2019)

An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada. - Nii Antiaye Addy; Arash Shaban-Nejad; David L. Buckeridge; Laurette Dubé (CoRR, 2019)

A systematic review of aberration detection algorithms used in public health surveillance. - Mengru Yuan; Nikita Boston-Fisher; Yu Luo 005; Aman Verma; David L. Buckeridge (J. Biomed. Informatics, 2019)

Global Surveillance of COVID-19 by mining news media using a multi-source dynamic embedded topic model. - Yue Li; Pratheeksha Nair; Zhi Wen; Imane Chafi; Anya Okhmatovskaia; Guido Powell; Yannan Shen; David L. Buckeridge (BCB, 2020)

Intelligent Tools for Precision Public Health. - Anya Okhmatovskaia; David L. Buckeridge (MIE, 2020)

Seven pillars of precision digital health and medicine. - Arash Shaban-Nejad; Martin Michalowski; Niels Peek; John S. Brownstein; David L. Buckeridge (Artif. Intell. Medicine, 2020)

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing. - 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; et al. (CoRR, 2020)

Guiding Public Health Policy by Using Grocery Transaction Data to Predict Demand for Unhealthy Beverages. - Xing Han Lù; Hiroshi Mamiya; Joseph Vybihal; Yu Ma; David L. Buckeridge (Precision Health and Medicine, 2020)

Supervised multi-specialist topic model with applications on large-scale electronic health record data. - Ziyang Song; Xavier Sumba Toral; Yixin Xu; Aihua Liu; Liming Guo; Guido Powell; Aman Verma; David L. Buckeridge; Ariane Marelli; Yue Li (BCB, 2021)

Predicting Infectiousness for Proactive Contact Tracing. - 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; et al. (ICLR, 2021)

Guest Editorial Explainable AI: Towards Fairness, Accountability, Transparency and Trust in Healthcare. - Arash Shaban-Nejad; Martin Michalowski; John S. Brownstein; David L. Buckeridge (IEEE J. Biomed. Health Informatics, 2021)

Automatic Phenotyping by a Seed-guided Topic Model. - Ziyang Song; Yuanyi Hu; Aman Verma; David L. Buckeridge; Yue Li (KDD, 2022)

A Conceptual Framework for Representing Events Under Public Health Surveillance. - Anya Okhmatovskaia; Yannan Shen; Iris Ganser; Nigel Collier; Nicholas B. King; Zaiqiao Meng; David L. Buckeridge (MIE, 2022)

BioCaster in 2021: automatic disease outbreaks detection from global news media. - Zaiqiao Meng; Anya Okhmatovskaia; Maxime Polleri; Yannan Shen; Guido Powell; Zihao Fu; Iris Ganser; Meiru Zhang; Nicholas B. King; David L. Buckeridge; Nigel Collier (Bioinform., 2022)

Modeling electronic health record data using a knowledge-graph-embedded topic model. - Yuesong Zou; Ahmad Pesaranghader; Aman Verma; David L. Buckeridge; Yue Li (CoRR, 2022)

MixEHR-Guided: A guided multi-modal topic modeling approach for large-scale automatic phenotyping using the electronic health record. - Yuri Ahuja; Yuesong Zou; Aman Verma; David L. Buckeridge; Yue Li 046 (J. Biomed. Informatics, 2022)

Novel informatics approaches to COVID-19 Research: From methods to applications. - Hua Xu 001; David L. Buckeridge; Fei Wang 001; Peter Tarczy-Hornoch (J. Biomed. Informatics, 2022)

Inferring global-scale temporal latent topics from news reports to predict public health interventions for COVID-19. - Zhi Wen; Guido Powell; Imane Chafi; David L. Buckeridge; Yue Li (Patterns, 2022)

BAND: Biomedical Alert News Dataset. - Zihao Fu; Meiru Zhang; Zaiqiao Meng; Yannan Shen; Anya Okhmatovskaia; David L. Buckeridge; Nigel Collier (CoRR, 2023)

BAND: Biomedical Alert News Dataset. - Zihao Fu; Meiru Zhang; Zaiqiao Meng; Yannan Shen; David L. Buckeridge; Nigel Collier (AAAI, 2024)

TimelyGPT: Extrapolatable Transformer Pre-training for Long-term Time-Series Forecasting in Healthcare. - Ziyang Song; Qincheng Lu; Hao Xu; He Zhu; David L. Buckeridge; Yue Li 055 (BCB, 2024)

MixEHR-Nest: Identifying Subphenotypes within Electronic Health Records through Hierarchical Guided-Topic Modeling. - Ruohan Wang; Zilong Wang; Ziyang Song; David L. Buckeridge; Yue Li 046 (BCB, 2024)

Development of a Framework for Establishing 'Gold Standard' Outbreak Data from Submitted SARS-CoV-2 Genome Samples. - Yannan Shen; Russell Steele; David L. Buckeridge (MIE, 2024)

Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learning. - Ziyang Song; Qincheng Lu; He Zhu; David L. Buckeridge; Yue Li (MLHC, 2024)

TrajGPT: Irregular Time-Series Representation Learning for Health Trajectory Analysis. - Ziyang Song; Qingcheng Lu; He Zhu; David L. Buckeridge; Yue Li (CoRR, 2024)

MixEHR-Nest: Identifying Subphenotypes within Electronic Health Records through Hierarchical Guided-Topic Modeling. - Ruohan Wang; Zilong Wang; Ziyang Song; David L. Buckeridge; Yue Li (CoRR, 2024)

CODA: an open-source platform for federated analysis and machine learning on distributed healthcare data. - 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; et al. (J. Am. Medical Informatics Assoc., 2024)

FedWeight: mitigating covariate shift of federated learning on electronic health records data through patients re-weighting. - He Zhu; Jun Bai; Na Li; Xiaoxiao Li; Dianbo Liu; David L. Buckeridge; Yue Li (npj Digit. Medicine, 2025)