Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Roy J Byrd"'
Autor:
Sanjoy, Dey, Yajuan, Wang, Roy J, Byrd, Kenney, Ng, Steven R, Steinhubl, Christopher, deFilippi, Walter F, Stewart
Publikováno v:
AMIA ... Annual Symposium proceedings. AMIA Symposium. 2016
Clinical practice varies among physicians in ways that could lead to variation in what is documented in a patient’s electronic health records (EHR) and act as a source of bias to predictive model performance that is independent of patient health st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::0913373baac6f8b04cc2cbfae0b815a4
https://pubmed.ncbi.nlm.nih.gov/28269847
https://pubmed.ncbi.nlm.nih.gov/28269847
Publikováno v:
International Journal of Medical Informatics. 83:983-992
Early detection of Heart Failure (HF) could mitigate the enormous individual and societal burden from this disease. Clinical detection is based, in part, on recognition of the multiple signs and symptoms comprising the Framingham HF diagnostic criter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be2f248338149f21630a5cf5b8e91bae
https://doi.org/10.1016/j.ijmedinf.2012.12.005
https://doi.org/10.1016/j.ijmedinf.2012.12.005
Autor:
Jianying Hu, Roy J. Byrd, Christopher DeFilippi, Walter F. Stewart, Steven R. Steinhubl, Kenney Ng, Yajuan Wang
Publikováno v:
Circulation. 132
Introduction: Electronic health records (EHRs) are a potentially rich source of data for developing predictive models for early detection of heart failure (HF). But, EHR documentation can vary both because of patient health and variation in clinical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b1b1f8811d42395f3f1c63186932dd0
https://doi.org/10.1161/circ.132.suppl_3.16364
https://doi.org/10.1161/circ.132.suppl_3.16364
Autor:
Kenney Ng, Walter F Stewart, Christopher deFilippi, Yajuan Wang, Roy J Byrd, Steven R Steinhubl, Zahar Daar, Heather Law, Jianying Hu
Publikováno v:
Circulation. 132
Introduction: Electronic health records (EHRs) represent an opportunity for real-time early risk prediction. EHR records were used to determine the extent to which machine learning tools and a purely data driven approach to modeling (DDM) could detec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25e7ada3359d6a1ebb0dc9941aa041d8
https://doi.org/10.1161/circ.132.suppl_3.17713
https://doi.org/10.1161/circ.132.suppl_3.17713
Publikováno v:
Natural Language Engineering. 11:67-86
This paper describes a novel approach to multi-document summarization, which explicitly addresses the problem of detecting, and retaining for the summary, multiple themes in document collections. We place equal emphasis on the processes of theme iden
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17a931f7a7f69928ac71c6cc31c6b5be
https://doi.org/10.1017/s1351324904003389
https://doi.org/10.1017/s1351324904003389
Autor:
Zahra Daar, Jianying Hu, Shahram Ebadollahi, Yajuan Wang, Roy J. Byrd, Christopher DeFilippi, Walter F. Stewart, Steven R. Steinhubl, Kenney Ng
Publikováno v:
EMBC
Heart failure (HF) prevalence is increasing and is among the most costly diseases to society. Early detection of HF would provide the means to test lifestyle and pharmacologic interventions that may slow disease progression and improve patient outcom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70de289a8044835a1ae229337e0384ac
https://europepmc.org/articles/PMC5233460/
https://europepmc.org/articles/PMC5233460/
Autor:
Steven R. Steinhubl, Roy J. Byrd, Christopher DeFilippi, Walter F. Stewart, David A Knorek, Kenney Ng, Zahar Daar
Publikováno v:
Journal of Patient-Centered Research and Reviews. 4:163
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdb95ccc937bc8a0139de6cc08ac1ddc
https://doi.org/10.17294/2330-0698.1500
https://doi.org/10.17294/2330-0698.1500
Autor:
Zahra Daar, Jimeng Sun, Brent A. Williams, Rajakrishnan Vijayakrishnan, Steven R. Steinhubl, Shahram Ebadollahi, Kenney Ng, Roy J. Byrd, Christopher DeFilippi, Walter F. Stewart
Background The electronic health record (EHR) contains a tremendous amount of data that if appropriately detected can lead to earlier identification of disease states such as heart failure (HF). Using a novel text and data analytic tool we explored t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2176dcfef28d44231e5cec0f0739fcbe
https://europepmc.org/articles/PMC4083004/
https://europepmc.org/articles/PMC4083004/
Publikováno v:
IBM Systems Journal. 40:925-955
A fundamental aspect of knowledge management is capturing knowledge and expertise created by knowledge workers as they go about their work and making it available to a larger community of colleagues. Technology can support these goals, and knowledge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33ec9d62fb4d30f0e97dee962d64415e
https://doi.org/10.1147/sj.404.0925
https://doi.org/10.1147/sj.404.0925
Autor:
David Gotz, Steven R. Steinhubl, Shahram Ebadollahi, Walter F. Stewart, Roy J. Byrd, Jimeng Sun, Zahra Daar, Rajakrishnan Vijayakrishnan
Background/Aims The diagnosis of heart failure (HF) is frequently delayed until patients are symptomatic enough to require hospitalization. Earlier identification of these patients would allow for the aggressive initiation of preventive strategies, p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b63e80ec60561b4868d15e7bb53d04e0
https://europepmc.org/articles/PMC3788560/
https://europepmc.org/articles/PMC3788560/