Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Phillip Reeder"'
Autor:
Michele I. Morris, Donglu Xie, Griffin M. Weber, Amy Chuang, Jeffrey G. Klann, Douglas MacFadden, Lee M. Nadler, Malarkodi J Samayamuthu, Philip Trevvett, Mark Abajian, Elaina R. Sendro, Wenhong Zhu, Amy Y. Wang, Gary S. Firestein, Nebojsa Mirkovic, Phillip Reeder, Robert W Follett, Robert D. Johnson, Shawn N. Murphy, Matthew C. Wyatt, Robert D Toto, Steven E. Reis, Shyam Visweswaran, Vivian S. Gainer, Lav P Patel, Neil Bahroos, Ngan Chau, Jennifer Cai, Barbara Benoit, Yuliya Borovskiy
Publikováno v:
JAMIA Open. 4
Clinical data networks that leverage large volumes of data in electronic health records (EHRs) are significant resources for research on coronavirus disease 2019 (COVID-19). Data harmonization is a key challenge in seamless use of multisite EHRs for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::951587b0bb150ee5f9eda648f0e3252d
https://doi.org/10.1093/jamiaopen/ooab036
https://doi.org/10.1093/jamiaopen/ooab036
Autor:
Robert W Follett, Phillip Reeder, Amy Y. Wang, Nebojsa Mirkovic, Shawn N. Murphy, Shyam Visweswaran, Steven E. Reis, Elaina R. Sendro, Vivian S. Gainer, Gary S. Firestein, Douglas MacFadden, Lee M. Nadler, Wenhong Zhu, Philip Trevvett, Lav P Patel, Amy Chuang, Neil Bahroos, Michele I. Morris, Robert D. Toto, Ngan Chau, Donglu Xie, Robert D. Johnson, Jeffrey G. Klann, Malarkodi J Samayamuthu, Mark Abajian, Barbara Benoit, Yuliya Borovskiy, Griffin M. Weber, Matthew C. Wyatt, Jennifer Cai
Publikováno v:
JAMIA Open
medRxiv
article-version (status) pre
article-version (number) 1
medRxiv
article-version (status) pre
article-version (number) 1
Clinical data networks that leverage large volumes of data in electronic health records (EHRs) are significant resources for research on coronavirus disease 2019 (COVID-19). Data harmonization is a key challenge in seamless use of multisite EHRs for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::294eba3e3ee39bab1c6d2faaac5cc41b
https://doi.org/10.1101/2021.03.15.21253596
https://doi.org/10.1101/2021.03.15.21253596
Autor:
Erel, Joffe, Michael J, Byrne, Phillip, Reeder, Jorge R, Herskovic, Craig W, Johnson, Allison B, McCoy, Elmer V, Bernstam
Publikováno v:
AMIA ... Annual Symposium proceedings. AMIA Symposium. 2013
Clinical databases may contain several records for a single patient. Multiple general entity-resolution algorithms have been developed to identify such duplicate records. To achieve optimal accuracy, algorithm parameters must be tuned to a particular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::b3d7b7517cbbba9144bf48bcb9fe2c6a
https://pubmed.ncbi.nlm.nih.gov/24551372
https://pubmed.ncbi.nlm.nih.gov/24551372
Autor:
Elmer V. Bernstam, Allison B. McCoy, Michael J. Byrne, Phillip Reeder, Dean F. Sittig, Craig W. Johnson, Erel Joffe, Jorge R. Herskovic
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA. 21(1)
Introduction Clinical databases require accurate entity resolution (ER). One approach is to use algorithms that assign questionable cases to manual review. Few studies have compared the performance of common algorithms for such a task. Furthermore, p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9ac63faf2ad4c57f117a14d58614ed9
https://pubmed.ncbi.nlm.nih.gov/23703827
https://pubmed.ncbi.nlm.nih.gov/23703827
Publikováno v:
Symposium on the Application of Geophysics to Engineering and Environmental Problems 2006.
Site and terrain conditions are always a major consideration in any geophysical investigation. These factors can limit the types of instruments used or the usefulness of the data being collected. In general, a variety of instruments are utilized at a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::041d7d785e5c3e38ad85c442385baeef
https://doi.org/10.4133/1.2923599
https://doi.org/10.4133/1.2923599
Publikováno v:
Journal of Clinical Oncology. 28:e16501-e16501
e16501 Background: Clinical data stored in electronic medical records may be useful for oncology research. The first step for such research is to identify patients who have been diagnosed with mali...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3527b3b1643ad31b30dc9ad047a13d85
https://doi.org/10.1200/jco.2010.28.15_suppl.e16501
https://doi.org/10.1200/jco.2010.28.15_suppl.e16501