David L. Buckeridge, Ph.D.
Affiliations: | 2005 | Stanford University, Palo Alto, CA |
Area:
Computer Science, Public Health, Operations Research, Biostatistics BiologyGoogle:
"David Buckeridge"Parents
Sign in to add mentor| Mark A. Musen | grad student | 2005 | Stanford | |
| (A method for evaluating outbreak detection in public health surveillance systems that use administrative data.) | ||||
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Rilkoff H, Struck S, Ziegler C, et al. (2024) Innovations in public health surveillance: An overview of novel use of data and analytic methods. Canada Communicable Disease Report = Releve Des Maladies Transmissibles Au Canada. 50: 93-101 |
| Shaban-Nejad A, Michalowski M, Bianco S, et al. (2022) Applied artificial intelligence in healthcare: Listening to the winds of change in a post-COVID-19 world. Experimental Biology and Medicine (Maywood, N.J.). 15353702221140406 |
| Chiolero A, Buckeridge D, Cullati S. (2021) [Strengthening the culture of public health surveillance and population health monitoring]. Revue Medicale Suisse. 17: 534-537 |
| McLaren L, Braitstein P, Buckeridge D, et al. (2020) Correction to: Why public health matters today and tomorrow: the role of applied public health research. Canadian Journal of Public Health = Revue Canadienne De Sante Publique |
| Buckeridge DL. (2020) Precision, Equity, and Public Health and Epidemiology Informatics - A Scoping Review. Yearbook of Medical Informatics. 29: 226-230 |
| Chiolero A, Buckeridge D. (2020) Glossary for public health surveillance in the age of data science. Journal of Epidemiology and Community Health. 74: 612-616 |
| Luo Y, Stephens DA, Verma A, et al. (2020) Bayesian latent multi-state modeling for non-equidistant longitudinal electronic health records. Biometrics |
| Shaban-Nejad A, Michalowski M, Peek N, et al. (2020) Seven pillars of precision digital health and medicine. Artificial Intelligence in Medicine. 103: 101793 |
| Anderson M, Revie CW, Stryhn H, et al. (2019) Defining 'actionable' high- costhealth care use: results using the Canadian Institute for Health Information population grouping methodology. International Journal For Equity in Health. 18: 171 |
| Motulsky A, Sicotte C, Moreault MP, et al. (2019) Using Health Information Exchange: Usage and Perceived Usefulness in Primary Care. Studies in Health Technology and Informatics. 264: 709-713 |