Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Maxime Lavigne"'
Autor:
Arnaud Godin, Yiqing Xia, David L Buckeridge, Sharmistha Mishra, Dirk Douwes-Schultz, Yannan Shen, Maxime Lavigne, Mélanie Drolet, Alexandra M Schmidt, Marc Brisson, Mathieu Maheu-Giroux
Publikováno v:
International Journal of Infectious Diseases, Vol 102, Iss , Pp 254-259 (2021)
Objective: The North American coronavirus disease-2019 (COVID-19) epidemic exhibited distinct early trajectories. In Canada, Quebec had the highest COVID-19 burden and its earlier March school break, taking place two weeks before those in other provi
Externí odkaz:
https://doaj.org/article/aeed15e2d59b4a02bb3e0beb4cf8cd49
Autor:
Maxime Lavigne, Robert Goulden, Bettina Habib, Lawrence Joseph, Nadyne Girard, David Buckeridge, Robyn Tamblyn
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
Introduction Data from electronic medical records is now readily available and records information needed in pharmacoepidemiological studies not usually found in administrative data such as risk factors and biometrics. Yet, EMR data leads to measurem
Externí odkaz:
https://doaj.org/article/59d596f463c24329b558facb1abbee70
Autor:
Guido Antonio Powell, Maxime Lavigne, Mengru Yuan, Anya Okhmatovskaia, Nikita Boston-Fisher, David Buckeridge
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
Introduction Linked population health data have the potential to inform evidence-based actions targeting serious public health concerns. However, large-scale data integration efforts can produce hundreds of population health indicators, which can ove
Externí odkaz:
https://doaj.org/article/9b4130c8080e4562877823bee900d2c2
Publikováno v:
Healthcare Management Forum
The burgeoning field of Artificial Intelligence (AI) has the potential to profoundly impact the public’s health. Yet, to make the most of this opportunity, decision-makers must understand AI concepts. In this article, we describe approaches and fie
Autor:
Marc Brisson, Mathieu Maheu-Giroux, Sharmistha Mishra, Yiqing Xia, Yannan Shen, Mélanie Drolet, Dirk Douwes-Schultz, David L. Buckeridge, Maxime Lavigne, Alexandra M. Schmidt, Arnaud Godin
BackgroundThe Canadian epidemics of COVID-19 exhibit distinct early trajectories, with Québec bearing a very high initial burden. Thesemaine de relâche, or March break, took place two weeks earlier in Québec as compared to the rest of Canada. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5836c277ced0dc36d1ad0e5479bc1079
Publikováno v:
Annals of the New York Academy of Sciences. 1387:44-53
Population health decision makers must consider complex relationships between multiple concepts measured with differential accuracy from heterogeneous data sources. Population health information systems are currently limited in their ability to integ
Autor:
Robyn Tamblyn, Bettina Habib, Robert Goulden, Maxime Lavigne, David L. Buckeridge, Nadyne Girard, Lawrence Joseph
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
IntroductionData from electronic medical records is now readily available and records information needed in pharmacoepidemiological studies not usually found in administrative data such as risk factors and biometrics. Yet, EMR data leads to measureme
Publikováno v:
Annals of the New York Academy of Sciences. 1387(1)
Population health decision makers must consider complex relationships between multiple concepts measured with differential accuracy from heterogeneous data sources. Population health information systems are currently limited in their ability to integ
Autor:
Mark A. Musen, Anya Okhmatovskaia, David L. Buckeridge, Wilson Lau, Maxime Lavigne, Kate Zinszer, Lauren N. Carroll, Neil F. Abernethy, Csongor Nyulus, Samson W. Tu
Publikováno v:
Online Journal of Public Health Informatics. 8
A scalable software platform to intergrate global health surveillance data and support decision making was developed and then implemented using malaria surveillance data from Uganda.
Publikováno v:
Studies in health technology and informatics. 205
The paper presents an overview of approaches to encoding uncertain causal knowledge in formal ontologies and demonstrates how these approaches can be used in a semantic-driven application for public health using the Population Health Record (PopHR) p