Zobrazeno 1 - 10 of 163 pro vyhledávání: '"G Poon"'
1
Akademický článek
Curating a knowledge base for individuals with coinfection of HIV and SARS-CoV-2: a study protocol of EHR-based data mining and clinical implementation
Autor: Bankole Olatosi, Sharon Weissman, Xiaoming Li, Chen Liang, Eric G Poon, Michael E Yarrington
Publikováno v: BMJ Open, Vol 12, Iss 9 (2022)
Introduction Despite a higher risk of severe COVID-19 disease in individuals with HIV, the interactions between SARS-CoV-2 and HIV infections remain unclear. To delineate these interactions, multicentre Electronic Health Records (EHR) hold existing p
Externí odkaz: https://doaj.org/article/d518817e81b6452f80877481b525823b
Zobrazit plný text záznamu
3
Telehealth transformation: COVID-19 and the rise of virtual care
Autor: Blake Cameron, Matthew Roman, Marat Fudim, Alex Cho, Jeffrey M. Ferranti, James E. Tcheng, Donna Phinney, Ziad F. Gellad, Jason N. Katz, Jedrek Wosik, Eric G. Poon, Simon Curtis
Publikováno v: Journal of the American Medical Informatics Association : JAMIA
Journal of the American Medical Informatics Association
The novel coronavirus disease-19 (COVID-19) pandemic has altered our economy, society, and healthcare system. While this crisis has presented the U.S. healthcare delivery system with unprecedented challenges, the pandemic has catalyzed rapid adoption
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44ecbebc443c733f1db56800ca5636eb
https://doi.org/10.1093/jamia/ocaa067
Zobrazit plný text záznamu
4
Overcoming barriers to the adoption and implementation of predictive modeling and machine learning in clinical care: what can we learn from US academic medical centers?
Autor: Armando Bedoya, Eric G. Poon, Carolyn A. Hutyra, Kumar Ilangovan, Anisha Chandiramani, Nancy Nderitu, Shayna M. Clancy, Joshua Watson
Publikováno v: JAMIA Open
There is little known about how academic medical centers (AMCs) in the US develop, implement, and maintain predictive modeling and machine learning (PM and ML) models. We conducted semi-structured interviews with leaders from AMCs to assess their use
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::414b9663aeae5a5ddb73e38caead55c1
http://europepmc.org/articles/PMC7382631
Zobrazit plný text záznamu
5
A framework for the oversight and local deployment of safe and high-quality prediction models
Autor: Armando D Bedoya, Nicoleta J Economou-Zavlanos, Benjamin A Goldstein, Allison Young, J Eric Jelovsek, Cara O’Brien, Amanda B Parrish, Scott Elengold, Kay Lytle, Suresh Balu, Erich Huang, Eric G Poon, Michael J Pencina
Publikováno v: J Am Med Inform Assoc
Artificial intelligence/machine learning models are being rapidly developed and used in clinical practice. However, many models are deployed without a clear understanding of clinical or operational impact and frequently lack monitoring plans that can
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::438c8c469f1e055e33656acaceda8a98
https://pubmed.ncbi.nlm.nih.gov/35641123
Zobrazit plný text záznamu
6
Variance in Variants: Propagating Genome Sequence Uncertainty into Phylogenetic Lineage Assignment
Autor: Devan G. Becker, Art G Poon, David Champredon, Gopi Gugan, Connor Chato
Genetic sequencing is subject to many different types of errors, but most analyses treat the resultant sequences as if they are known without error. Next generation sequencing methods rely on significantly larger numbers of reads than previous sequen
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ca78116b8cccda06a5b2204bb7ba7f27
https://doi.org/10.1101/2021.11.30.470642
Zobrazit plný text záznamu
7
Curating a knowledge base for individuals with coinfection of HIV and SARS-CoV-2: a study protocol of EHR-based data mining and clinical implementation
Autor: Chen Liang, Sharon Weissman, Bankole Olatosi, Eric G Poon, Michael E Yarrington, Xiaoming Li
Publikováno v: BMJ Open. 12:e067204
IntroductionDespite a higher risk of severe COVID-19 disease in individuals with HIV, the interactions between SARS-CoV-2 and HIV infections remain unclear. To delineate these interactions, multicentre Electronic Health Records (EHR) hold existing pr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d17df9e871cfe4a35ec80d08edeb7023
https://doi.org/10.1136/bmjopen-2022-067204
Zobrazit plný text záznamu
8
Undiagnosed Phenylketonuria Can Exist Everywhere: Results From an International Survey
Autor: Annemiek M.J. van Wegberg, Friedrich Trefz, Maria Gizewska, Sibtain Ahmed, Layachi Chabraoui, Maha S. Zaki, François Maillot, Francjan J. van Spronsen, K. Ahring, F. Al Mutairi, J.B. Arnoux, D. Ballhausen, J. Baruteau, L. Bernstein, S. Bijarnia-Mahay, F. Boemer, A. Bordugo, L. Brodosi, S. Brooks, H.B. Chew, K. Chyz, M. Coker, C. Collingwood, V. Cornejo, M.L. Couce, A. Cozens, S. Dahri, A.M. Das, C. de Laet, J. de las Heras Montero, A. de Vreugd, F.G. Debray, M. Dercksen, M. Descartes, L. Diogo, E. Drogari, H. Eiroa, F.T. Eminoglu, G.M. Enns, F. Eyskens, F. Feillet, S. Ford, L. Franzson, P. Freisinger, P. Garcia, O. Grafakou, G. Gramer, S. Gray, U. Groselj, S.C. Grünert, D. Haas, B. Handoom, T.B. Harte, C. Hendriksz, R.S. Heredia, J. Hertecant, T. Hoi-Yee Wu, A. Inwood, S.S. Jamuar, P. Jesina, J.J. Jonsson, A. Jovanovic, I. Kern, S. Kilavuz, I. Knerr, D. Kor, D. Korycinska-Chaaban, M. Kreile, B. Kumru, B. Lanpher, R. Lapatto, C. Lavigne, E. Leao-Teles, V. Leuzzi, N. Longo, A. Lopez-Uriarte, C.M.A. Lubout, A. MacDonald, E.M. Megdad, J. Mitchell, F. Mochel, P.J. Moreno-Lozano, A. Morris, C.F. Moura de Souza, T. Munoz, P.I. Nevalainen, M. Oscarson, K. Õunap, S. Paci, G.M. Pastores, P.L. Pearl, F.B. Piazzon, J. Pitt, G. Poon, F. Porta, N. Presner, A.A. Rabaty, K. Reinson, P. Reismann, T. Rink, J.C. Rocha, E. Rodrigues, A.G. Saini, A. Sanchez-Valle, J. Sander, P. Sarkhail, I.V.D. Schwartz, R. Sharma, B. Sheng, K. Siriwardena, S. Sirrs, D.R. Sjarif, N. Sondheimer, R. Sparkes, N. Specola, K.M. Stepien, I. Szatmari, M. Tchan, T. Tkemaladze, C. Tran, M.G. Valle, M. Vela-Amieva, M.L. Verdaguer, S.A. Vergano, P. Vermeersch, R. Vulturar, M.A.E.M. Wagenmakers, N. Weinhold, A.B. Williams, W.G. Wilson, D. Zafeiriou, H. Zhang, A. Ziagaki, J. Zolkowska
Publikováno v: Journal of Pediatrics, 239, 231-234.e2
Journal of Pediatrics, 239, pp. 231-234.e2
Journal of Pediatrics, 239, 231-+. MOSBY-ELSEVIER
Many countries do not have a newborn screening (NBS) program, and immigrants from such countries are at risk for late diagnosis of phenylketonuria (PKU). In this international survey, 52 of 259 patients (20%) with late diagnosed PKU were immigrants,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7348c15ff180e1571446dba681221c93
http://hdl.handle.net/2066/244721
Zobrazit plný text záznamu
9
Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study
Autor: Faraz Yashar, Dina Sarro, Mike Revoir, Joseph Futoma, Michael Gao, Sahil Sandhu, Christelle Tan, Corinne Miller, Cara O'Brien, Katherine Heller, Nathan Brajer, R. Donohoe, William Ratliff, Eric G. Poon, Kristin M. Corey, Armando Bedoya, Marshall Nichols, Tres Brown, Kelly Kester, Madeleine Clare Elish, Kevin J. Anstrom, Anthony Lin, Jason Theiling, Elizabeth Alderton, Suresh Balu, Susan Engelbosch, Mark Sendak
Publikováno v: JMIR Medical Informatics
JMIR Medical Informatics, Vol 8, Iss 7, p e15182 (2020)
Background Successful integrations of machine learning into routine clinical care are exceedingly rare, and barriers to its adoption are poorly characterized in the literature. Objective This study aims to report a quality improvement effort to integ
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69d772fd2fd72a7f492131f285f0079b
http://europepmc.org/articles/PMC7391165
Zobrazit plný text záznamu
10
Designing risk prediction models for ambulatory no-shows across different specialties and clinics
Autor: Ziad F. Gellad, Pamela Barth, Xiruo Ding, Chad Mather, Benjamin A. Goldstein, Mark F. Newman, Eric G. Poon
Publikováno v: Journal of the American Medical Informatics Association : JAMIA
Objective As available data increases, so does the opportunity to develop risk scores on more refined patient populations. In this paper we assessed the ability to derive a risk score for a patient no-showing to a clinic visit. Methods Using data fro
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d4cf97f42f25e52d5f275824373bc9d
http://europepmc.org/articles/PMC6077778
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje