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Pubmed for Handhelds

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Journal Abstract Search

138 related items for PubMed ID: 20602177

  • 1. A prediction model based on an artificial intelligence system for moderate to severe obstructive sleep apnea.
    Sun LM, Chiu HW, Chuang CY, Liu L.
    Sleep Breath; 2011 Sep; 15(3):317-23. PubMed ID: 20602177
    [Abstract] [Full Text] [Related]

  • 2. [Comparison of the NoSAS score with four different questionnaires as screening tools for obstructive sleep apnea-hypopnea syndrome].
    Qing SM, Chen RK, Liu H, Zhang S, Kuang AL, Su XF, Liu CL, Zhang NF.
    Zhonghua Jie He He Hu Xi Za Zhi; 2018 Mar 12; 41(3):213-219. PubMed ID: 29518851
    [Abstract] [Full Text] [Related]

  • 3. Enhanced machine learning approaches for OSA patient screening: model development and validation study.
    Dai R, Yang K, Zhuang J, Yao L, Hu Y, Chen Q, Zheng H, Zhu X, Ke J, Zeng Y, Fan C, Chen X, Fan J, Zhang Y.
    Sci Rep; 2024 Aug 26; 14(1):19756. PubMed ID: 39187569
    [Abstract] [Full Text] [Related]

  • 4. Assessing the likelihood of obstructive sleep apnea: a comparison of nine screening questionnaires.
    Prasad KT, Sehgal IS, Agarwal R, Nath Aggarwal A, Behera D, Dhooria S.
    Sleep Breath; 2017 Dec 26; 21(4):909-917. PubMed ID: 28365841
    [Abstract] [Full Text] [Related]

  • 5. Screening for obstructive sleep apnea syndrome in patients with type 2 diabetes mellitus: a prospective study on sensitivity of Berlin and STOP-Bang questionnaires.
    Westlake K, Plihalova A, Pretl M, Lattova Z, Polak J.
    Sleep Med; 2016 Oct 26; 26():71-76. PubMed ID: 27613528
    [Abstract] [Full Text] [Related]

  • 6. Evaluation of the Arabic version of STOP-Bang questionnaire as a screening tool for obstructive sleep apnea.
    Alhouqani S, Al Manhali M, Al Essa A, Al-Houqani M.
    Sleep Breath; 2015 Dec 26; 19(4):1235-40. PubMed ID: 25758298
    [Abstract] [Full Text] [Related]

  • 7. Combination of symptoms and oxygen desaturation index in predicting childhood obstructive sleep apnea.
    Chang L, Wu J, Cao L.
    Int J Pediatr Otorhinolaryngol; 2013 Mar 26; 77(3):365-71. PubMed ID: 23246417
    [Abstract] [Full Text] [Related]

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  • 9. [Accuracy of Berlin questionnaire with different body mass index cutoff values in the screening of patients with obstructive sleep apnea].
    Li Z, Tang XD.
    Zhonghua Yi Xue Za Zhi; 2017 Mar 28; 97(12):911-914. PubMed ID: 28355751
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  • 11. Utility of screening questionnaire and polysomnography to predict postoperative outcomes in children.
    Kako H, Tripi J, Walia H, Tumin D, Splaingard M, Jatana KR, Tobias JD, Raman VT.
    Int J Pediatr Otorhinolaryngol; 2017 Nov 28; 102():71-75. PubMed ID: 29106880
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  • 13. Validation of Bahasa Malaysia STOP-BANG questionnaire for identification of obstructive sleep apnea.
    Abdullah B, Idris AI, Mohammad ZW, Mohamad H.
    Sleep Breath; 2018 Dec 28; 22(4):1235-1239. PubMed ID: 29682698
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  • 15. Comparisons of measures used to screen for obstructive sleep apnea in patients referred to a sleep clinic.
    Miller JN, Kupzyk KA, Zimmerman L, Pozehl B, Schulz P, Romberger D, Berger AM.
    Sleep Med; 2018 Nov 28; 51():15-21. PubMed ID: 30077956
    [Abstract] [Full Text] [Related]

  • 16. [The accuracy of STOP-Bang questionnaire in the screening of patients with obstructive sleep apnea].
    Li Z, Tang XD.
    Zhonghua Yi Xue Za Zhi; 2020 Apr 14; 100(14):1057-1062. PubMed ID: 32294866
    [Abstract] [Full Text] [Related]

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  • 18. [Application of Berlin questionnaire in the screening of obstructive sleep apnea hypopnea syndrome].
    Lü XP, Zhang C, Ma J, Su L, Jia P, Luo YP, Wei SM, Wang GF.
    Zhonghua Jie He He Hu Xi Za Zhi; 2011 Jul 14; 34(7):515-9. PubMed ID: 22041777
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  • 20. Decision tree based diagnostic system for moderate to severe obstructive sleep apnea.
    Ting H, Mai YT, Hsu HC, Wu HC, Tseng MH.
    J Med Syst; 2014 Sep 14; 38(9):94. PubMed ID: 25012477
    [Abstract] [Full Text] [Related]

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