Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Glen Wright Colopy"'
Autor:
Tingting Zhu, Glen Wright Colopy, Clare Macewen, Katherine Niehaus, Yang Yang, Chris W. Pugh, David A. Clifton
Publikováno v:
IEEE Access, Vol 7, Pp 58094-58103 (2019)
The management of patient well-being can be performed by monitoring continuous time-series vital-sign data via low-cost wearable devices. Automated algorithms may then be used with the resulting data to provide early warning of deterioration of the h
Externí odkaz:
https://doaj.org/article/b8c1c430df9e4efe805f0e824732b3d4
Autor:
Glen Wright Colopy
Publikováno v:
Journal of Data Science. :173-177
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c722077f54395703dd522bdf8ce6ad99
https://doi.org/10.6339/21-jds192edi
https://doi.org/10.6339/21-jds192edi
Statistical models for clinical risk prediction are often derived using data from primary care databases; however, they are frequently used outside of clinical settings. The use of prediction models in epidemiological studies without external validat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f624b30d5164f112432257f9ce317b3a
http://hdl.handle.net/10044/1/94818
http://hdl.handle.net/10044/1/94818
Autor:
Yang Yang, David A. Clifton, Tingting Zhu, Clare MacEwen, Glen Wright Colopy, Katherine E. Niehaus, Christopher W. Pugh
Publikováno v:
IEEE Access, Vol 7, Pp 58094-58103 (2019)
The management of patient well-being can be performed by monitoring continuous time-series vital-sign data via low-cost wearable devices. Automated algorithms may then be used with the resulting data to provide early warning of deterioration of the h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f2f0d38993507865323011c64815b85
https://doi.org/10.1109/access.2019.2912079
https://doi.org/10.1109/access.2019.2912079
Publikováno v:
Bio-Design and Manufacturing. 2:31-40
Weaning from mechanical ventilation in the intensive care unit (ICU) is a complex clinical problem and relevant for future organ engineering. Prolonged mechanical ventilation (MV) leads to a range of medical complications that increases length of sta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5522c10b2ded5cbb1c2548110fdf28ff
https://doi.org/10.1007/s42242-018-0030-1
https://doi.org/10.1007/s42242-018-0030-1
Autor:
Richard Allen, Glen Wright Colopy, Theodore R. Rieger, Rebecca A. Everett, Angelica Gonzalez, Yifan Cui, Cynthia J. Musante, Lukas Bystricky, R. D. White, Harvey Thomas Banks, Yifei Liu, Yuzhou Chen
Publikováno v:
Progress in Biophysics and Molecular Biology. 139:15-22
Quantitative systems pharmacology (QSP) models aim to mechanistically describe disease progression and predict the effects of existing therapies or novel compounds on disease biomarkers or outcomes. For most drug development applications, it is impor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80c82d7b2baa2d62857c1a24492053c6
https://doi.org/10.1016/j.pbiomolbio.2018.06.002
https://doi.org/10.1016/j.pbiomolbio.2018.06.002
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 23(3)
Patients in a hospital step-down unit require a level of care that is between that of the intensive care unit (ICU) and that of the general ward. While many patients remain physiologically stabilized, others will suffer clinical emergencies and be re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::456b310fc0757c1ce1fb1c8c1d2db0d6
http://ora.ox.ac.uk/objects/uuid:
http://ora.ox.ac.uk/objects/uuid:
Publikováno v:
IEEE journal of biomedical and health informatics. 22(2)
Gaussian process regression (GPR) provides a means to generate flexible personalized models of time series of patient vital signs. These models can perform useful clinical inference in ways that population-based models cannot. A challenge for the use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::5a031bcd3ba0cad4d3a9409af2d9fd63
https://pubmed.ncbi.nlm.nih.gov/29505398
https://pubmed.ncbi.nlm.nih.gov/29505398
Publikováno v:
BHI
In the domain of chronic disease monitoring, continuous time-series vital sign data (such as blood pressure) can be collected through low-cost wearable devices. Approximately 300 million people have chronic kidney disease globally. These patients und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b01539c3a64a8a63c230c89c5d50d3fa
https://doi.org/10.1109/bhi.2018.8333400
https://doi.org/10.1109/bhi.2018.8333400
Publikováno v:
EMBC
Robust continuous monitoring of patient vital signs (VS) is limited by artefactual data yielding measurements that are not representative of the patient's physiology. These artefacts are typified by several distinct “archetypes”. We present sever
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7133a332439c3a7756dba85d48e93cd
https://pubmed.ncbi.nlm.nih.gov/29060321
https://pubmed.ncbi.nlm.nih.gov/29060321