David L. Buckeridge, Ph.D.

2005 Stanford University, Palo Alto, CA 
Computer Science, Public Health, Operations Research, Biostatistics Biology
"David Buckeridge"


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Mark A. Musen grad student 2005 Stanford
 (A method for evaluating outbreak detection in public health surveillance systems that use administrative data.)
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Okhmatovskaia A, Buckeridge DL. (2020) Intelligent Tools for Precision Public Health. Studies in Health Technology and Informatics. 270: 858-863
Shaban-Nejad A, Michalowski M, Peek N, et al. (2020) Seven pillars of precision digital health and medicine. Artificial Intelligence in Medicine. 103: 101793
Lavigne M, Mussa F, Creatore MI, et al. (2019) A population health perspective on artificial intelligence. Healthcare Management Forum. 840470419848428
Shaban-Nejad A, Michalowski M, Buckeridge DL. (2018) Health intelligence: how artificial intelligence transforms population and personalized health. Npj Digital Medicine. 1: 53
Yuan M, Powell G, Lavigne M, et al. (2017) Initial Usability Evaluation of a Knowledge-Based Population Health Information System: The Population Health Record (PopHR). Amia ... Annual Symposium Proceedings. Amia Symposium. 2017: 1878-1884
Shaban-Nejad A, Okhmatovskaia A, Shin EK, et al. (2017) POLE.VAULT: A Semantic Framework for Health Policy Evaluation and Logical Testing. Studies in Health Technology and Informatics. 245: 1335
Paquet C, de Montigny L, Labban A, et al. (2017) The moderating role of food cue sensitivity in the behavioral response of children to their neighborhood food environment: a cross-sectional study. The International Journal of Behavioral Nutrition and Physical Activity. 14: 86
Shaban-Nejad A, Okhmatovskaia A, Shin EK, et al. (2017) A Semantic Framework for Logical Cross-Validation, Evaluation and Impact Analyses of Population Health Interventions. Studies in Health Technology and Informatics. 235: 481-485
Shaban-Nejad A, Lavigne M, Okhmatovskaia A, et al. (2016) PopHR: a knowledge-based platform to support integration, analysis, and visualization of population health data. Annals of the New York Academy of Sciences
Ye C, Li Z, Fu Y, et al. (2016) SCM: a practical tool to implement hospital-based syndromic surveillance. Bmc Research Notes. 9: 315
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