Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ahmad M. Abusalah"'
Autor:
Mark W. Yeazel, Laura Pejsa, Barbara F. Brandt, Ahmad M. Abusalah, Connie W Delaney, Jennifer Stumpf Kertz
Publikováno v:
Journal of Interprofessional Care. :1-13
Since 2012, the National Center for Interprofessional Practice and Education has worked with over 70 sites implementing over 100 interprofessional education and collaborative practice (IPECP) programs in the United States (U.S.). Program leaders have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b32f45e25bfe709d50549c97f7adbba
https://doi.org/10.1080/13561820.2020.1798897
https://doi.org/10.1080/13561820.2020.1798897
Publikováno v:
AMIA ... Annual Symposium proceedings. AMIA Symposium. 2012
Optimal surgical planning and decision making surrounding surgical interventions requires patient-specific risk assessment which incorporates patient pre-operative clinical assessment and clinical literature. In this paper, we utilized population-bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::1a6493ea36ea8efd1fb1f20a8fd052c5
https://pubmed.ncbi.nlm.nih.gov/23304385
https://pubmed.ncbi.nlm.nih.gov/23304385
Publikováno v:
SIGMOD Conference
Peer-to-peer data integration - a.k.a. Peer Data Management Systems (PDMSs) - promises to extend the classical data integration approach to the Internet scale. Unfortunately, some challenges remain before realizing this promise. One of the biggest ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b72f375b32605da78e181a977ca4b101
https://doi.org/10.1145/1807167.1807249
https://doi.org/10.1145/1807167.1807249
Autor:
Mourad Ouzzani, Ryan P. Hafen, Shaun J. Grannis, Mohamed Yakout, David S. Ebert, Stephen Rudolph, Ross Maciejewski, William S. Cleveland, Ahmad M. Abusalah
Publikováno v:
Cyber Center Publications
As data sources become larger and more complex, the ability to effectively explore and analyze patterns amongst varying sources becomes a critical bottleneck in analytic reasoning. Incoming data contains multiple variables, high signal to noise ratio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf0d161f6a4aef5d877d7aa6afac883b
https://pubmed.ncbi.nlm.nih.gov/20075482
https://pubmed.ncbi.nlm.nih.gov/20075482
Autor:
Shaun J. Grannis, William S. Cleveland, Ross Maciejewski, Ahmad M. Abusalah, David S. Ebert, David E. Anderson, Ryan P. Hafen, Mohamed Yakout, Mourad Ouzzani
Publikováno v:
Department of Electrical and Computer Engineering Faculty Publications
BMC Medical Informatics and Decision Making, Vol 9, Iss 1, p 21 (2009)
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making, Vol 9, Iss 1, p 21 (2009)
BMC Medical Informatics and Decision Making
Background Public health surveillance is the monitoring of data to detect and quantify unusual health events. Monitoring pre-diagnostic data, such as emergency department (ED) patient chief complaints, enables rapid detection of disease outbreaks. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1545de00fba6da685c8461775ffb5b22
https://doi.org/10.1186/1472-6947-9-21
https://doi.org/10.1186/1472-6947-9-21
Autor:
M. Wade, Shaun J. Grannis, Stephen Rudolph, Ryan P. Hafen, Mourad Ouzzani, David S. Ebert, Ahmad M. Abusalah, Mohamed Yakout, William S. Cleveland, Ross Maciejewski
Publikováno v:
IEEE VAST
When analyzing syndromic surveillance data, health care officials look for areas with unusually high cases of syndromes. Unfortunately, many outbreaks are difficult to detect because their signal is obscured by the statistical noise. Consequently, ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4b6cd24f7395700d67a5dc085405ae6
https://doi.org/10.1109/vast.2008.4677354
https://doi.org/10.1109/vast.2008.4677354