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Incident cardiovascular disease risk prediction using extensive oximetry patterns

Detalles Bibliográficos
Autor principal: Cade, Brian E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742889/
https://www.ncbi.nlm.nih.gov/pubmed/36149837
http://dx.doi.org/10.1093/sleep/zsac230
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author Cade, Brian E
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spelling pubmed-97428892022-12-13 Incident cardiovascular disease risk prediction using extensive oximetry patterns Cade, Brian E Sleep Editorials Oxford University Press 2022-09-23 /pmc/articles/PMC9742889/ /pubmed/36149837 http://dx.doi.org/10.1093/sleep/zsac230 Text en © Sleep Research Society 2022. Published by Oxford University Press on behalf of the Sleep Research Society. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Editorials
Cade, Brian E
Incident cardiovascular disease risk prediction using extensive oximetry patterns
title Incident cardiovascular disease risk prediction using extensive oximetry patterns
title_full Incident cardiovascular disease risk prediction using extensive oximetry patterns
title_fullStr Incident cardiovascular disease risk prediction using extensive oximetry patterns
title_full_unstemmed Incident cardiovascular disease risk prediction using extensive oximetry patterns
title_short Incident cardiovascular disease risk prediction using extensive oximetry patterns
title_sort incident cardiovascular disease risk prediction using extensive oximetry patterns
topic Editorials
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742889/
https://www.ncbi.nlm.nih.gov/pubmed/36149837
http://dx.doi.org/10.1093/sleep/zsac230
work_keys_str_mv AT cadebriane incidentcardiovasculardiseaseriskpredictionusingextensiveoximetrypatterns