BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

264 related articles for article (PubMed ID: 27070243)

  • 1. Staging Sleep in Polysomnograms: Analysis of Inter-Scorer Variability.
    Younes M; Raneri J; Hanly P
    J Clin Sleep Med; 2016 Jun; 12(6):885-94. PubMed ID: 27070243
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Minimizing Interrater Variability in Staging Sleep by Use of Computer-Derived Features.
    Younes M; Hanly PJ
    J Clin Sleep Med; 2016 Oct; 12(10):1347-1356. PubMed ID: 27448418
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An approach for determining the reliability of manual and digital scoring of sleep stages.
    Gerardy B; Kuna ST; Pack A; Kushida CA; Walsh JK; Staley B; Pien GW; Younes M
    Sleep; 2023 Nov; 46(11):. PubMed ID: 37712522
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The Visual Scoring of Sleep in Infants 0 to 2 Months of Age.
    Grigg-Damberger MM
    J Clin Sleep Med; 2016 Mar; 12(3):429-45. PubMed ID: 26951412
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Scoring accuracy of automated sleep staging from a bipolar electroocular recording compared to manual scoring by multiple raters.
    Stepnowsky C; Levendowski D; Popovic D; Ayappa I; Rapoport DM
    Sleep Med; 2013 Nov; 14(11):1199-207. PubMed ID: 24047533
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The 2007 AASM recommendations for EEG electrode placement in polysomnography: impact on sleep and cortical arousal scoring.
    Ruehland WR; O'Donoghue FJ; Pierce RJ; Thornton AT; Singh P; Copland JM; Stevens B; Rochford PD
    Sleep; 2011 Jan; 34(1):73-81. PubMed ID: 21203376
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The American Academy of Sleep Medicine inter-scorer reliability program: sleep stage scoring.
    Rosenberg RS; Van Hout S
    J Clin Sleep Med; 2013 Jan; 9(1):81-7. PubMed ID: 23319910
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Assessment of automated scoring of polysomnographic recordings in a population with suspected sleep-disordered breathing.
    Pittman SD; MacDonald MM; Fogel RB; Malhotra A; Todros K; Levy B; Geva AB; White DP
    Sleep; 2004 Nov; 27(7):1394-403. PubMed ID: 15586793
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Process and outcome for international reliability in sleep scoring.
    Zhang X; Dong X; Kantelhardt JW; Li J; Zhao L; Garcia C; Glos M; Penzel T; Han F
    Sleep Breath; 2015 Mar; 19(1):191-5. PubMed ID: 24801137
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Computer-Assisted Automated Scoring of Polysomnograms Using the Somnolyzer System.
    Punjabi NM; Shifa N; Dorffner G; Patil S; Pien G; Aurora RN
    Sleep; 2015 Oct; 38(10):1555-66. PubMed ID: 25902809
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Interobserver agreement among sleep scorers from different centers in a large dataset.
    Norman RG; Pal I; Stewart C; Walsleben JA; Rapoport DM
    Sleep; 2000 Nov; 23(7):901-8. PubMed ID: 11083599
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The American Academy of Sleep Medicine Inter-scorer Reliability program: respiratory events.
    Rosenberg RS; Van Hout S
    J Clin Sleep Med; 2014 Apr; 10(4):447-54. PubMed ID: 24733993
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Reliability of the American Academy of Sleep Medicine Rules for Assessing Sleep Depth in Clinical Practice.
    Younes M; Kuna ST; Pack AI; Walsh JK; Kushida CA; Staley B; Pien GW
    J Clin Sleep Med; 2018 Feb; 14(2):205-213. PubMed ID: 29351821
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Performance of an automated polysomnography scoring system versus computer-assisted manual scoring.
    Malhotra A; Younes M; Kuna ST; Benca R; Kushida CA; Walsh J; Hanlon A; Staley B; Pack AI; Pien GW
    Sleep; 2013 Apr; 36(4):573-82. PubMed ID: 23565003
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Scoring sleep with artificial intelligence enables quantification of sleep stage ambiguity: hypnodensity based on multiple expert scorers and auto-scoring.
    Bakker JP; Ross M; Cerny A; Vasko R; Shaw E; Kuna S; Magalang UJ; Punjabi NM; Anderer P
    Sleep; 2023 Feb; 46(2):. PubMed ID: 35780449
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The visual scoring of sleep and arousal in infants and children.
    Grigg-Damberger M; Gozal D; Marcus CL; Quan SF; Rosen CL; Chervin RD; Wise M; Picchietti DL; Sheldon SH; Iber C
    J Clin Sleep Med; 2007 Mar; 3(2):201-40. PubMed ID: 17557427
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The AASM recommended and acceptable EEG montages are comparable for the staging of sleep and scoring of EEG arousals.
    Duce B; Rego C; Milosavljevic J; Hukins C
    J Clin Sleep Med; 2014 Jul; 10(7):803-9. PubMed ID: 25024660
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Computer-assisted analysis of polysomnographic recordings improves inter-scorer associated agreement and scoring times.
    Alvarez-Estevez D; Rijsman RM
    PLoS One; 2022; 17(9):e0275530. PubMed ID: 36174095
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Utility of Technologist Editing of Polysomnography Scoring Performed by a Validated Automatic System.
    Younes M; Thompson W; Leslie C; Egan T; Giannouli E
    Ann Am Thorac Soc; 2015 Aug; 12(8):1206-18. PubMed ID: 26065574
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Open-source logic-based automated sleep scoring software using electrophysiological recordings in rats.
    Gross BA; Walsh CM; Turakhia AA; Booth V; Mashour GA; Poe GR
    J Neurosci Methods; 2009 Oct; 184(1):10-8. PubMed ID: 19615408
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.