Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Tanner C Hobson"'
Autor:
Arvind eRamanathan, Laura L. Pullum, Tanner C. Hobson, Christopher G. Stahl, Chad A. Steed, Shannon P. Quinn, Chakra S. Chennubhotla
Publikováno v:
Frontiers in Public Health, Vol 3 (2015)
We describe a data-driven unsupervised machine learning approach to extract geo-temporal co-occurrence patterns of asthma and the flu from large-scale electronic healthcare reimbursement claims (eHRC) datasets. Specifically, we examine the eHRC data
Externí odkaz:
https://doaj.org/article/86e77b1c1f3d44a3a8e4d01413320b94
Publikováno v:
SoftwareX, Vol 7, Iss, Pp 287-293 (2018)
The Liquids Reflectometer at Oak Ridge National Laboratory provides neutron reflectivity capability for an average of about 30 experiments each year. In recent years, there has been a large effort to streamline the data processing and analysis for th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bae9ab977eab074b0ea62024b6856204
https://doi.org/10.1016/j.softx.2018.09.001
https://doi.org/10.1016/j.softx.2018.09.001
Autor:
Tanner C Hobson, Silvia Valkova, Chakra Chennubhotla, Shannon Quinn, Laura L. Pullum, Chad A. Steed, Arvind Ramanathan
Publikováno v:
BMC Bioinformatics
Background The digitization of health-related information through electronic health records (EHR) and electronic healthcare reimbursement claims and the continued growth of self-reported health information through social media provides both tremendou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8e0684fe45073b471659d24e50ab9f9
Publikováno v:
IEEE BigData
We examine the use of electronic healthcare reimbursement claims (EHRC) for analyzing healthcare delivery and practice patterns across the United States (US). We show that EHRCs are correlated with disease incidence estimates published by the Centers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8e1ef6831db734f9f361b2e6e7dd66d
https://doi.org/10.1109/bigdata.2015.7364067
https://doi.org/10.1109/bigdata.2015.7364067
Autor:
Christopher G. Stahl, Silvia Valkova, Arvind Ramanathan, Chad A. Steed, Laura L. Pullum, Chakra Chennubhotla, Shannon Quinn, Tanner C Hobson
Publikováno v:
Frontiers in Public Health, Vol 3 (2015)
Frontiers in Public Health
Frontiers in Public Health
We describe a data-driven unsupervised machine learning approach to extract geo-temporal co-occurrence patterns of asthma and the flu from large-scale electronic healthcare reimbursement claims (eHRC) datasets. Specifically, we examine the eHRC data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::551ad4b0bf52334962cb61974603426b
http://journal.frontiersin.org/Journal/10.3389/fpubh.2015.00182/full
http://journal.frontiersin.org/Journal/10.3389/fpubh.2015.00182/full
Publikováno v:
The Journal of Open Source Software. 2:366
The Django Remote Submission is a Django application to manage long running job submission, including starting the job, saving logs, and storing results. It is an independent project available as a standalone pypi package. It can be easily integrated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57ba0ee2c8d9a4509c690efb89b9bb0b
https://doi.org/10.21105/joss.00366
https://doi.org/10.21105/joss.00366