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Beyond the apnea–hypopnea index: alternative diagnostic parameters and machine learning solutions for estimation of sleep apnea severity

Detalles Bibliográficos
Autores principales: Leppänen, Timo, Myllymaa, Sami, Kulkas, Antti, Töyräs, Juha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
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
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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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