174 related articles for article (PubMed ID: 36124597)
21. Prediction model of obstructive sleep apnea-related hypertension: Machine learning-based development and interpretation study.
Shi Y; Ma L; Chen X; Li W; Feng Y; Zhang Y; Cao Z; Yuan Y; Xie Y; Liu H; Yin L; Zhao C; Wu S; Ren X
Front Cardiovasc Med; 2022; 9():1042996. PubMed ID: 36545020
[TBL] [Abstract][Full Text] [Related]
22. Nocturia and snoring: predictive symptoms for obstructive sleep apnea.
Romero E; Krakow B; Haynes P; Ulibarri V
Sleep Breath; 2010 Dec; 14(4):337-43. PubMed ID: 19865841
[TBL] [Abstract][Full Text] [Related]
23. Integrating domain knowledge with machine learning to detect obstructive sleep apnea: Snore as a significant bio-feature.
Hsu YC; Wang JD; Huang PH; Chien YW; Chiu CJ; Lin CY
J Sleep Res; 2022 Apr; 31(2):e13487. PubMed ID: 34549473
[TBL] [Abstract][Full Text] [Related]
24. Predicting sleep apnea and excessive day sleepiness in the severely obese: indicators for polysomnography.
Dixon JB; Schachter LM; O'Brien PE
Chest; 2003 Apr; 123(4):1134-41. PubMed ID: 12684304
[TBL] [Abstract][Full Text] [Related]
25. Age-specific markers of adiposity in patients with obstructive sleep apnea.
Zhang Z; Wang Y; Li H; Ni L; Liu X
Sleep Med; 2021 Jul; 83():196-203. PubMed ID: 34044357
[TBL] [Abstract][Full Text] [Related]
26. A prediction model based on artificial neural networks for the diagnosis of obstructive sleep apnea.
Karamanli H; Yalcinoz T; Yalcinoz MA; Yalcinoz T
Sleep Breath; 2016 May; 20(2):509-14. PubMed ID: 26087718
[TBL] [Abstract][Full Text] [Related]
27. Improved diagnostic accuracy for pediatric obstructive sleep apnea using an out-of-center sleep test.
Isaka N; Chiba S; Suzuki M; Ikeda K; Miura M; Yagi T; Kojima H
Auris Nasus Larynx; 2022 Dec; 49(6):980-985. PubMed ID: 35361513
[TBL] [Abstract][Full Text] [Related]
28. Is the OSA-18 predictive of obstructive sleep apnea: comparison to polysomnography.
Ishman SL; Yang CJ; Cohen AP; Benke JR; Meinzen-Derr JK; Anderson RM; Madden ME; Tabangin ME
Laryngoscope; 2015 Jun; 125(6):1491-5. PubMed ID: 25545468
[TBL] [Abstract][Full Text] [Related]
29. Obstructive sleep apnea in pregnancy: performance of a rapid screening tool.
Balserak BI; Zhu B; Grandner MA; Jackson N; Pien GW
Sleep Breath; 2019 Jun; 23(2):425-432. PubMed ID: 30232680
[TBL] [Abstract][Full Text] [Related]
30. Comparison of a simple obstructive sleep apnea screening device with standard in-laboratory polysomnography.
Assefa SZ; Diaz-Abad M; Korotinsky A; Tom SE; Scharf SM
Sleep Breath; 2016 May; 20(2):537-41. PubMed ID: 26265559
[TBL] [Abstract][Full Text] [Related]
31. A Nomogram for Predicting the Likelihood of Obstructive Sleep Apnea to Reduce the Unnecessary Polysomnography Examinations.
Luo M; Zheng HY; Zhang Y; Feng Y; Li DQ; Li XL; Han JF; Li TP
Chin Med J (Engl); 2015 Aug; 128(16):2134-40. PubMed ID: 26265604
[TBL] [Abstract][Full Text] [Related]
32. Evaluation of a 2-channel portable device and a predictive model to screen for obstructive sleep apnea in a laboratory environment.
Zou J; Meng L; Liu Y; Xu X; Liu S; Guan J; Yin S; Yi H
Respir Care; 2015 Mar; 60(3):356-62. PubMed ID: 25406349
[TBL] [Abstract][Full Text] [Related]
33. Rapid risk stratification for obstructive sleep apnea, based on snoring severity and body mass index.
Morris LG; Kleinberger A; Lee KC; Liberatore LA; Burschtin O
Otolaryngol Head Neck Surg; 2008 Nov; 139(5):615-8. PubMed ID: 18984252
[TBL] [Abstract][Full Text] [Related]
34. A Machine Learning Prediction Model of Adult Obstructive Sleep Apnea Based on Systematically Evaluated Common Clinical Biochemical Indicators.
Huang J; Zhuang J; Zheng H; Yao L; Chen Q; Wang J; Fan C
Nat Sci Sleep; 2024; 16():413-428. PubMed ID: 38699466
[TBL] [Abstract][Full Text] [Related]
35. Applicability of visceral adiposity index in predicting metabolic syndrome in adults with obstructive sleep apnea: a cross-sectional study.
Chen GP; Qi JC; Wang BY; Lin X; Zhang XB; Zhao JM; Chen XF; Lin T; Chen DD; Lin QC
BMC Pulm Med; 2016 Mar; 16():37. PubMed ID: 26931776
[TBL] [Abstract][Full Text] [Related]
36. Utility of screening questionnaire, obesity, neck circumference, and sleep polysomnography to predict sleep-disordered breathing in children and adolescents.
Raman VT; Splaingard M; Tumin D; Rice J; Jatana KR; Tobias JD
Paediatr Anaesth; 2016 Jun; 26(6):655-64. PubMed ID: 27111886
[TBL] [Abstract][Full Text] [Related]
37. Novel screening model of obstructive sleep apnea for snorers with suspected NAFLD undergoing liver sonography.
Lu YB; Weng YC; Huang YN; Huang HY; Cheng PT; Hsieh HS; Tsai MS
BMC Pulm Med; 2021 Nov; 21(1):387. PubMed ID: 34856978
[TBL] [Abstract][Full Text] [Related]
38. Validation of a photoplethysmography device for detection of obstructive sleep apnea in the perioperative setting.
Faßbender P; Haddad A; Bürgener S; Peters J
J Clin Monit Comput; 2019 Apr; 33(2):341-345. PubMed ID: 29749570
[TBL] [Abstract][Full Text] [Related]
39. The predictive value of BOAH scale for screening obstructive sleep apnea in patients at a sleep clinic in Scotland.
Gabryelska A; Mokros Ł; Kardas G; Panek M; Riha R; Białasiewicz P
Sleep Breath; 2021 Mar; 25(1):355-359. PubMed ID: 32524336
[TBL] [Abstract][Full Text] [Related]
40. 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
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
