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Beyond the apnea–hypopnea index: alternative diagnostic parameters and machine learning solutions for estimation of sleep apnea severity
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8436139/ https://www.ncbi.nlm.nih.gov/pubmed/34515318 http://dx.doi.org/10.1093/sleep/zsab134 |
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author | Leppänen, Timo Myllymaa, Sami Kulkas, Antti Töyräs, Juha |
author_facet | Leppänen, Timo Myllymaa, Sami Kulkas, Antti Töyräs, Juha |
author_sort | Leppänen, Timo |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-8436139 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-84361392021-09-14 Beyond the apnea–hypopnea index: alternative diagnostic parameters and machine learning solutions for estimation of sleep apnea severity Leppänen, Timo Myllymaa, Sami Kulkas, Antti Töyräs, Juha Sleep Letters to the Editor Oxford University Press 2021-09-13 /pmc/articles/PMC8436139/ /pubmed/34515318 http://dx.doi.org/10.1093/sleep/zsab134 Text en © Sleep Research Society 2021. Published by Oxford University Press on behalf of the Sleep Research Society. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Letters to the Editor Leppänen, Timo Myllymaa, Sami Kulkas, Antti Töyräs, Juha Beyond the apnea–hypopnea index: alternative diagnostic parameters and machine learning solutions for estimation of sleep apnea severity |
title | Beyond the apnea–hypopnea index: alternative diagnostic parameters and machine learning solutions for estimation of sleep apnea severity |
title_full | Beyond the apnea–hypopnea index: alternative diagnostic parameters and machine learning solutions for estimation of sleep apnea severity |
title_fullStr | Beyond the apnea–hypopnea index: alternative diagnostic parameters and machine learning solutions for estimation of sleep apnea severity |
title_full_unstemmed | Beyond the apnea–hypopnea index: alternative diagnostic parameters and machine learning solutions for estimation of sleep apnea severity |
title_short | Beyond the apnea–hypopnea index: alternative diagnostic parameters and machine learning solutions for estimation of sleep apnea severity |
title_sort | beyond the apnea–hypopnea index: alternative diagnostic parameters and machine learning solutions for estimation of sleep apnea severity |
topic | Letters to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8436139/ https://www.ncbi.nlm.nih.gov/pubmed/34515318 http://dx.doi.org/10.1093/sleep/zsab134 |
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