Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Laura L Pullum"'
Publikováno v:
PLoS ONE, Vol 11, Iss 4, p e0153769 (2016)
Although adoption of newer Point-of-Care (POC) diagnostics is increasing, there is a significant challenge using POC diagnostics data to improve epidemiological models. In this work, we propose a method to process zip-code level POC datasets and appl
Externí odkaz:
https://doaj.org/article/22d4581471c74dbe9ef1cba2749bc47f
Autor:
Courtney D Corley, Laura L Pullum, David M Hartley, Corey Benedum, Christine Noonan, Peter M Rabinowitz, Mary J Lancaster
Publikováno v:
PLoS ONE, Vol 9, Iss 3, p e91989 (2014)
The objective of this manuscript is to present a systematic review of biosurveillance models that operate on select agents and can forecast the occurrence of a disease event. We define a disease event to be a biological event with focus on the One He
Externí odkaz:
https://doaj.org/article/2d3ec7e8bd554a9090a415292d8edb38
Autor:
Catherine D. Schuman, Daniel Schultz, Hayley Guy, Theodore Papamarkou, Jeremy Blake Renshaw, Bryce Kroencke, Jordan Miller, Laura L. Pullum, Preston Robinette, Stylianos Chatzidakis, Jacob Hinkle
Publikováno v:
Nuclear Engineering and Technology, Vol 53, Iss 2, Pp 657-665 (2021)
Nondestructive evaluation methods play an important role in ensuring component integrity and safety in many industries. Operator fatigue can play a critical role in the reliability of such methods. This is important for inspecting high value assets o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c670d7e23f251906fc65e861626ad3ba
https://doi.org/10.1016/j.net.2020.07.020
https://doi.org/10.1016/j.net.2020.07.020
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:
ACM SIGSOFT Software Engineering Notes. 44:56-59
MET is a relatively new workshop on metamorphic testing for academic researchers and industry practitioners. The first international workshop on MET (MET 2016) was co-located with the 38th International Conference on Software Engineering (ICSE 2016)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a01c6c33bad7300bceb39222a9f6ec61
https://doi.org/10.1145/3356773.3356810
https://doi.org/10.1145/3356773.3356810
Autor:
Angela Laurio, Hilda B. Klasky, Merry Ward, James J. Nutaro, Nebeker, Olufemi A. Omitaomu, Helia Zandi, J. M. Scott, Teja Kuruganti, Mohammad Olama, Laura L. Pullum, Ozgur Ozmen, Aneel Advani
Publikováno v:
Health Syst (Basingstoke)
An increase in the reliability of Health Information Technology (HIT) will facilitate institutional trust and credibility of the systems. In this paper, we present an end-to-end framework for improving the reliability and performance of HIT systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44733245174d96d923838a75887832b7
https://doi.org/10.1080/20476965.2019.1599701
https://doi.org/10.1080/20476965.2019.1599701
Publikováno v:
Knowledge and Information Systems. 61:1667-1693
Given a contact network and coarse-grained diagnostic information such as electronic Healthcare Reimbursement Claims (eHRC) data, can we develop efficient intervention policies from data to control an epidemic? Immunization is an important problem in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb21182885c5cb5ce11f89be3ff0199d
https://doi.org/10.1007/s10115-018-01326-x
https://doi.org/10.1007/s10115-018-01326-x
Autor:
Teja Kuruganti, Brian C. Sauer, Olufemi A. Omitaomu, J. M. Scott, Frank A. Drews, Ozgur Ozmen, Hilda B. Klasky, Merry Ward, Laura L. Pullum, Jonathan R. Nebeker, Addi Malviya Thakur, Angela Laurio, Mohammed M. Olama
Publikováno v:
Journal of biomedical informatics. 124
The adoption of health information technology (HIT) has facilitated efforts to increase the quality and efficiency of health care services and decrease health care overhead while simultaneously generating massive amounts of digital information stored
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1182cafc7258bba7fe538854f4a10392
https://pubmed.ncbi.nlm.nih.gov/34687867
https://pubmed.ncbi.nlm.nih.gov/34687867
Autor:
Merry Ward, Mohammad Olama, Addi Thakur Malviya, Teja Kuruganti, Hilda B. Klasky, Frank A. Drews, Laura L. Pullum, Olufemi A. Omitaomu, Angela Laurio, Haoran Niu, Qing C. Cao, Ozgur Ozmen, Jonathan R. Nebeker, J. M. Scott, Brian C. Sauer
Publikováno v:
IEEE BigData
Over the past decade, health information technology (IT) has enabled the amount of digital information stored in electronic health records (EHRs) to expand greatly. However, according to some studies, hazards in health IT can lead to changes in clini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77cb79cb4b9e263704a0520b310947d3
https://doi.org/10.1109/bigdata50022.2020.9378080
https://doi.org/10.1109/bigdata50022.2020.9378080