Literature DB >> 32105211

The faces of sleep apnea in the age of machine learning.

Ofer Jacobowitz1, Stuart MacKay2.   

Abstract

Entities:  

Year:  2020        PMID： 32105211      PMCID： PMC7161451          DOI： 10.5664/jcsm.8402

Source DB:  PubMed          Journal:  J Clin Sleep Med        ISSN： 1550-9389            Impact factor:   4.062


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  7 in total

1.  Embracing change, responding to challenge, and looking toward the future.

Authors:  Patrick J Strollo
Journal:  J Clin Sleep Med       Date:  2010-08-15       Impact factor: 4.062

2.  Polysomnography indexes are discordant with quality of life, symptoms, and reaction times in sleep apnea patients.

Authors:  Edward M Weaver; B Tucker Woodson; David L Steward
Journal:  Otolaryngol Head Neck Surg       Date:  2005-02       Impact factor: 3.497

3.  Invited commentary from organizations on the draft proposal released by the Centers for Medicare & Medicaid Services for modification of national coverage determination 240.4.

Authors:  Edward M Weaver
Journal:  J Clin Sleep Med       Date:  2008-02-15       Impact factor: 4.062

Review 4.  Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis.

Authors:  Adam V Benjafield; Najib T Ayas; Peter R Eastwood; Raphael Heinzer; Mary S M Ip; Mary J Morrell; Carlos M Nunez; Sanjay R Patel; Thomas Penzel; Jean-Louis Pépin; Paul E Peppard; Sanjeev Sinha; Sergio Tufik; Kate Valentine; Atul Malhotra
Journal:  Lancet Respir Med       Date:  2019-07-09       Impact factor: 30.700

5.  Severity of Desaturations Reflects OSA-Related Daytime Sleepiness Better Than AHI.

Authors:  Samu Kainulainen; Juha Töyräs; Arie Oksenberg; Henri Korkalainen; Sandra Sefa; Antti Kulkas; Timo Leppänen
Journal:  J Clin Sleep Med       Date:  2019-08-15       Impact factor: 4.062

6.  Burden of sleep apnea: rationale, design, and major findings of the Wisconsin Sleep Cohort study.

Authors:  Terry Young; Mari Palta; Jerome Dempsey; Paul E Peppard; F Javier Nieto; K Mae Hla
Journal:  WMJ       Date:  2009-08

7.  The predictive value of clinical and epidemiological parameters in the identification of patients with obstructive sleep apnoea (OSA): a clinical prediction algorithm in the evaluation of OSA.

Authors:  Francisco Santaolalla Montoya; Juan Ramón Iriondo Bedialauneta; Urko Aguirre Larracoechea; Agustin Martinez Ibargüen; Ana Sanchez Del Rey; Jose Maria Sanchez Fernandez
Journal:  Eur Arch Otorhinolaryngol       Date:  2007-01-26       Impact factor: 3.236
  7 in total
  1 in total

1.  Machine learning for image-based detection of patients with obstructive sleep apnea: an exploratory study.

Authors:  Satoru Tsuiki; Takuya Nagaoka; Tatsuya Fukuda; Yuki Sakamoto; Fernanda R Almeida; Hideaki Nakayama; Yuichi Inoue; Hiroki Enno
Journal:  Sleep Breath       Date:  2021-02-08       Impact factor: 2.816
  1 in total

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