These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

108 related articles for article (PubMed ID: 34593972)

  • 1. Statistical uncertainty quantification to augment clinical decision support: a first implementation in sleep medicine.
    Kang DY; DeYoung PN; Tantiongloc J; Coleman TP; Owens RL
    NPJ Digit Med; 2021 Sep; 4(1):142. PubMed ID: 34593972
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bridging AI and Clinical Practice: Integrating Automated Sleep Scoring Algorithm with Uncertainty-Guided Physician Review.
    Bechny M; Monachino G; Fiorillo L; van der Meer J; Schmidt MH; Bassetti CLA; Tzovara A; Faraci FD
    Nat Sci Sleep; 2024; 16():555-572. PubMed ID: 38827394
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automated sleep stage scoring of the Sleep Heart Health Study using deep neural networks.
    Zhang L; Fabbri D; Upender R; Kent D
    Sleep; 2019 Oct; 42(11):. PubMed ID: 31289828
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automatic sleep scoring in normals and in individuals with neurodegenerative disorders according to new international sleep scoring criteria.
    Jensen PS; Sorensen HB; Leonthin HL; Jennum P
    J Clin Neurophysiol; 2010 Aug; 27(4):296-302. PubMed ID: 20634706
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An E-health solution for automatic sleep classification according to Rechtschaffen and Kales: validation study of the Somnolyzer 24 x 7 utilizing the Siesta database.
    Anderer P; Gruber G; Parapatics S; Woertz M; Miazhynskaia T; Klosch G; Saletu B; Zeitlhofer J; Barbanoj MJ; Danker-Hopfe H; Himanen SL; Kemp B; Penzel T; Grozinger M; Kunz D; Rappelsberger P; Schlogl A; Dorffner G
    Neuropsychobiology; 2005; 51(3):115-33. PubMed ID: 15838184
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. A State Space and Density Estimation Framework for Sleep Staging in Obstructive Sleep Apnea.
    Kang DY; DeYoung PN; Malhotra A; Owens RL; Coleman TP
    IEEE Trans Biomed Eng; 2018 Jun; 65(6):1201-1212. PubMed ID: 28499990
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A novel sleep stage scoring system: Combining expert-based features with the generalized linear model.
    Gunnarsdottir KM; Gamaldo C; Salas RM; Ewen JB; Allen RP; Hu K; Sarma SV
    J Sleep Res; 2020 Oct; 29(5):e12991. PubMed ID: 32030843
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea.
    Korkalainen H; Aakko J; Duce B; Kainulainen S; Leino A; Nikkonen S; Afara IO; Myllymaa S; Töyräs J; Leppänen T
    Sleep; 2020 Nov; 43(11):. PubMed ID: 32436942
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The future of Cochrane Neonatal.
    Soll RF; Ovelman C; McGuire W
    Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Validation of 'Somnivore', a Machine Learning Algorithm for Automated Scoring and Analysis of Polysomnography Data.
    Allocca G; Ma S; Martelli D; Cerri M; Del Vecchio F; Bastianini S; Zoccoli G; Amici R; Morairty SR; Aulsebrook AE; Blackburn S; Lesku JA; Rattenborg NC; Vyssotski AL; Wams E; Porcheret K; Wulff K; Foster R; Chan JKM; Nicholas CL; Freestone DR; Johnston LA; Gundlach AL
    Front Neurosci; 2019; 13():207. PubMed ID: 30936820
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Transition Probability Based Classification Model for Enhanced N1 Sleep stage Identification During Automatic Sleep Stage Scoring.
    Davies HJ; Nakamura T; Mandic DP
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():3641-3644. PubMed ID: 31946665
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Learning machines and sleeping brains: Automatic sleep stage classification using decision-tree multi-class support vector machines.
    Lajnef T; Chaibi S; Ruby P; Aguera PE; Eichenlaub JB; Samet M; Kachouri A; Jerbi K
    J Neurosci Methods; 2015 Jul; 250():94-105. PubMed ID: 25629798
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Long Short-Term Memory Networks for Unconstrained Sleep Stage Classification Using Polyvinylidene Fluoride Film Sensor.
    Choi SH; Kwon HB; Jin HW; Yoon H; Lee MH; Lee YJ; Park KS
    IEEE J Biomed Health Inform; 2020 Dec; 24(12):3606-3615. PubMed ID: 32149661
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Certainty about uncertainty in sleep staging: a theoretical framework.
    van Gorp H; Huijben IAM; Fonseca P; van Sloun RJG; Overeem S; van Gilst MM
    Sleep; 2022 Aug; 45(8):. PubMed ID: 35675746
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Efficient sleep classification based on entropy features and a support vector machine classifier.
    Zhang Z; Wei S; Zhu G; Liu F; Li Y; Dong X; Liu C; Liu F
    Physiol Meas; 2018 Nov; 39(11):115005. PubMed ID: 30475743
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An automated sleep-state classification algorithm for quantifying sleep timing and sleep-dependent dynamics of electroencephalographic and cerebral metabolic parameters.
    Rempe MJ; Clegern WC; Wisor JP
    Nat Sci Sleep; 2015; 7():85-99. PubMed ID: 26366107
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Sleep stage classification using covariance features of multi-channel physiological signals on Riemannian manifolds.
    Jiang D; Ma Y; Wang Y
    Comput Methods Programs Biomed; 2019 Sep; 178():19-30. PubMed ID: 31416548
    [TBL] [Abstract][Full Text] [Related]  

  • 19.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 6.