Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Brian Hazlehurst"'
Autor:
James S. Floyd, Maralyssa A. Bann, Andrew H. Felcher, Daniel Sapp, Michael D. Nguyen, Adebola Ajao, Robert Ball, David S. Carrell, Jennifer C. Nelson, Brian Hazlehurst
Publikováno v:
Epidemiology (Cambridge, Mass.). 34(1)
Acute pancreatitis is a serious gastrointestinal disease that is an important target for drug safety surveillance. Little is known about the accuracy of ICD-10 codes for acute pancreatitis in the United States, or their performance in specific clinic
Open and closed porous structures with lattice and honeycomb geometry can be built using laser powder bed fusion additive manufacturing processes. The porous structures can be used to tailor the mechanical properties of a component or provide other f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99910e56dc0d1931a61d1f386d9e16b6
https://doi.org/10.3233/atde210019
https://doi.org/10.3233/atde210019
Autor:
John Brandes, Brian Hazlehurst, Paul Coplan, Angela DeVeaugh-Geiss, David Carrell, Carla A. Green, Nancy Perrin, Andrew Baer
Publikováno v:
Pharmacoepidemiology and Drug Safety
Purpose To enhance automated methods for accurately identifying opioid‐related overdoses and classifying types of overdose using electronic health record (EHR) databases. Methods We developed a natural language processing (NLP) software application
Autor:
Carlos G. Grijalva, Caihua Liang, Nancy Perrin, Paul Coplan, Cheryl Enger, Shannon L. Janoff, David Carrell, Brian Hazlehurst, Angela DeVeaugh-Geiss, Carla A. Green
Publikováno v:
Pharmacoepidemiology and Drug Safety
Purpose The study aims to develop and validate algorithms to identify and classify opioid overdoses using claims and other coded data, and clinical text extracted from electronic health records using natural language processing (NLP). Methods Primary
Autor:
Jennifer C. Nelson, David Carrell, Patrick J. Heagerty, James S. Floyd, Brian Hazlehurst, Susan Gruber
Publikováno v:
Pharmacoepidemiology and Drug Safety. 30:1735-1736
Autor:
Susan M. Shortreed, Carlos G. Grijalva, David Carrell, Michael Von Korff, Brian Hazlehurst, Shannon L. Janoff, Jane M. Lange, Carla A. Green, Ladia Albertson-Junkans, Kris Hansen, David Cronkite, Eric O. Johnson, Grant Scull, Arvind Ramaprasan, Caihua Liang, Andrew Baer, Matt Mackwood, Angela DeVeaugh-Geiss, Paul Coplan, Cheryl Enger
Publikováno v:
Journal of Drug Assessment
Objective: Opioid surveillance in response to the opioid epidemic will benefit from scalable, automated algorithms for identifying patients with clinically documented signs of problem prescription opioid use. Existing algorithms lack accuracy. We sou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b462057795e6acd46551ee38780c24cc
Publikováno v:
Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care. 7:25-29
Our health care system uses sophisticated cancer therapies, treatment technologies and facilities, and has dedicated and talented cancer specialists. Effective use of these innovations requires coordination of many diffuse components. For example, tr
Autor:
Carla A. Green, Brian Hazlehurst
Publikováno v:
Pharmacoepidemiology and drug safety. 28(8)
Publikováno v:
Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society ISBN: 9781315789354
Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society
Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed061367c5a5112eee11d9de2847ac35
https://doi.org/10.4324/9781315789354-176
https://doi.org/10.4324/9781315789354-176
Autor:
Paul Coplan, Daniel S. Sapp, Brian Hazlehurst, Carla A. Green, John Brandes, Shannon L. Janoff, Angela DeVeaugh-Geiss
Publikováno v:
Pharmacoepidemiology and Drug Safety
Purpose To facilitate surveillance and evaluate interventions addressing opioid‐related overdoses, algorithms are needed for use in large health care databases to identify and differentiate community‐occurring opioid‐related overdoses from inpa