[HTML][HTML] Obstructive sleep apnea: a categorical cluster analysis and visualization
D Ferreira-Santos, PP Rodrigues - Pulmonology, 2023 - Elsevier
Abstract Introduction and Objectives Obstructive sleep apnea (OSA) is a prevalent sleep
condition which is very heterogeneous although not formally characterized as such …
condition which is very heterogeneous although not formally characterized as such …
Phenotyping obstructive sleep apnea patients: a first approach to cluster visualization
D Ferreira-Santos… - … Support Systems and …, 2018 - ebooks.iospress.nl
The varied phenotypes of obstructive sleep apnea (OSA) poses critical challenges, resulting
in missed or delayed diagnosis. In this work, we applied k-modes, aiming to identify groups …
in missed or delayed diagnosis. In this work, we applied k-modes, aiming to identify groups …
Obstructive sleep apnea: a cluster analysis at time of diagnosis
S Bailly, M Destors, Y Grillet, P Richard, B Stach… - PloS one, 2016 - journals.plos.org
Background The classification of obstructive sleep apnea is on the basis of sleep study
criteria that may not adequately capture disease heterogeneity. Improved phenotyping may …
criteria that may not adequately capture disease heterogeneity. Improved phenotyping may …
Identifying phenotypes of obstructive sleep apnea using cluster analysis
K Venkatnarayan, UM Krishnaswamy… - Sleep and …, 2023 - Springer
Purpose Over the last decade, advances in understanding the pathophysiology, clinical
presentation, systemic consequences and treatment responses in obstructive sleep apnea …
presentation, systemic consequences and treatment responses in obstructive sleep apnea …
Unmasking heterogeneity of sleep apnea
AI Pack - Sleep Medicine Clinics, 2023 - sleep.theclinics.com
Obstructive sleep apnea (OSA) is a common disorder. 1 There is growing evidence that
there is substantial heterogeneity among patients with the same apparent severity of …
there is substantial heterogeneity among patients with the same apparent severity of …
Unique clinical phenotypes of patients with obstructive sleep apnea in a Japanese population: a cluster analysis
H Ida, T Suga, M Nishimura, Y Aoki - Journal of Clinical Sleep …, 2022 - jcsm.aasm.org
Study Objectives: In an attempt to better understand the heterogeneity of individuals with
obstructive sleep apnea (OSA), unbiased analytic approaches such as cluster analysis have …
obstructive sleep apnea (OSA), unbiased analytic approaches such as cluster analysis have …
Clinical phenotypes of obstructive sleep apnea: a cluster analysis based on sleep perception and sleep quality
H Wei, J Zhu, F Lei, L Luo, Y Zhang, R Ren, T Li… - Sleep and …, 2023 - Springer
Purpose To determine obstructive sleep apnea (OSA) phenotypes using cluster analysis
including variables of sleep perception and sleep quality and to further explore factors …
including variables of sleep perception and sleep quality and to further explore factors …
Recognizable clinical subtypes of obstructive sleep apnea across international sleep centers: a cluster analysis
Study Objectives A recent study of patients with moderate–severe obstructive sleep apnea
(OSA) in Iceland identified three clinical clusters based on symptoms and comorbidities. We …
(OSA) in Iceland identified three clinical clusters based on symptoms and comorbidities. We …
The different clinical faces of obstructive sleep apnoea: a cluster analysis
L Ye, GW Pien, SJ Ratcliffe… - European …, 2014 - Eur Respiratory Soc
Although commonly observed in clinical practice, the heterogeneity of obstructive sleep
apnoea (OSA) clinical presentation has not been formally characterised. This study was the …
apnoea (OSA) clinical presentation has not been formally characterised. This study was the …
Defining the heterogeneity of sleep apnea syndrome: a cluster analysis with implications for patient management
S Romero-Peralta, F García-Rio, PR Barrio… - Archivos de …, 2022 - Elsevier
Introduction Obstructive sleep apnea (OSA) is a complex pathology with heterogeneity that
has not been fully characterized to date. Our objective is to identify groups of patients with …
has not been fully characterized to date. Our objective is to identify groups of patients with …
相关搜索
- cluster analysis sleep apnea
- obstructive sleep apnea
- identifying phenotypes sleep apnea
- unmasking heterogeneity sleep apnea
- time of diagnosis sleep apnea
- sleep apnea syndrome
- cluster analysis sleep centers
- cluster analysis sleep apnoea
- japanese population sleep apnea
- cluster analysis patient management
- cluster analysis identifying phenotypes
- cluster analysis time of diagnosis
- obstructive sleep apnoea
- cluster analysis multidimensional assessment
- cluster analysis japanese population