3,123
Views
4
CrossRef citations to date
0
Altmetric
Research Article

Machine learning approaches for screening the risk of obstructive sleep apnea in the Taiwan population based on body profile

, ORCID Icon, , , , , , , , , , , , , & show all

References

  • Gibson GJ. Obstructive sleep apnoea syndrome: underestimated and undertreated. Br Med Bull. 2004;72(1):49–65. PMID: 15798032. doi:10.1093/bmb/ldh044.
  • Peppard PE, Young T, Barnet JH, Palta M, Hagen EW, Hla KM. Increased prevalence of sleep-disordered breathing in adults. Am J Epidemiol. 2013;177(9):1006–14. PMID: 23589584 PMCID: PMC3639722. doi:10.1093/aje/kws342.
  • Gonzaga C, Bertolami A, Bertolami M, Amodeo C, Calhoun D. Obstructive sleep apnea, hypertension and cardiovascular diseases. J Hum Hypertens. 2015;29(12):705–12. PMID: 25761667. doi:10.1038/jhh.2015.15.
  • Brenner R, Kivity S, Peker M, Reinhorn D, Keinan-Boker L, Silverman B, Liphsitz I, Kolitz T, Levy C, Shlomi D, others, et al. Increased risk for cancer in young patients with severe obstructive sleep apnea. Respiration. 2019;97(1):15–23. PMID: 30419556. doi:10.1159/000486577.
  • Peter-Derex L, Yammine P, Bastuji H, Croisile B. Sleep and alzheimer’s disease. Sleep Med Rev. 2015;19:29–38. PMID: 24846773. doi:10.1016/j.smrv.2014.03.007.
  • Alvarez-Sabin J, Romero O, Delgado P, Quintana M, Santamarina E, Ferre A, Maisterra O, Riba-Llena I, Montaner J, Sampol G., et al. Obstructive sleep apnea and silent cerebral infarction in hypertensive individuals. J Sleep Res. 2018;27(2):232–39. PMID: 28631309. doi:10.1111/jsr.12571.
  • Buratti L, Luzzi S, Petrelli C, Baldinelli S, Viticchi G, Provinciali L, Altamura C, Vernieri F, Silvestrini M. Obstructive sleep apnea syndrome: an emerging risk factor for dementia. CNS Neurol Disord Drug Targets. 2016;15(6):678–82. PMID: 27189468. doi:10.2174/1871527315666160518123930.
  • Kushida CA, Littner MR, Morgenthaler T, Alessi CA, Bailey D, Coleman J Jr., Friedman L, Hirshkowitz M, Kapen S, Kramer M, others, et al. Practice parameters for the indications for polysomnography and related procedures: an update for 2005. Sleep. 2005;28(4):499–521. PMID: 16171294. doi:10.1093/sleep/28.4.499.
  • Ancoli-Israel S, Cole R, Alessi C, Chambers M, Moorcroft W, Pollak CP. The role of actigraphy in the study of sleep and circadian rhythms. Sleep. 2003;26(3):342–92. PMID: 12749557. doi:10.1093/sleep/26.3.342.
  • Rotenberg B, George C, Sullivan K, Wong E. Wait times for sleep apnea care in Ontario: a multidisciplinary assessment. Can Respir J. 2010;17(4):170–74. PMID: 20808975 PMCID: PMC2933773. doi:10.1155/2010/420275.
  • Stewart SA, Skomro R, Reid J, Penz E, Fenton M, Gjevre J, Cotton D. Improvement in obstructive sleep apnea diagnosis and management wait times: a retrospective analysis of home management pathway for obstructive sleep apnea. Can Respir J. 2015;22(3):167–70. PMID: 25751031 PMCID: PMC4470551. doi:10.1155/2015/516580.
  • Collop NA, Anderson WM, Boehlecke B, Claman D, Goldberg R, Gottlieb DJ, Hudgel D, Sateia M, Schwab R. Clinical guidelines for the use of unattended portable monitors in the diagnosis of obstructive sleep apnea in adult patients. J Clin Sleep Med. 2007;3(7):737–47. PMID: 18198809 PMCID: PMC2556918.
  • Kundel V, Shah N. Impact of portable sleep testing. Sleep Med Clin. 2017;12(1):137–47. PMID: 28159092 PMCID: PMC5458525. doi:10.1016/j.jsmc.2016.10.006.
  • Mirrakhimov AE, Sooronbaev T, Mirrakhimov EM. Prevalence of obstructive sleep apnea in Asian adults: a systematic review of the literature. BMC Pulm Med. 2013;13(1):10. PMID: 23433391 PMCID: PMC3585751. doi:10.1186/1471-2466-13-10.
  • El-Sayed IH. Comparison of four sleep questionnaires for screening obstructive sleep apnea. Egyptian Journal of Chest Diseases and Tuberculosis. 2012;61(4):433–41. doi:10.1016/j.ejcdt.2012.07.003.
  • Bixler EO, Vgontzas AN, Lin HM, Ten Have T, Rein J, Vela-Bueno A, Kales A. Prevalence of sleep-disordered breathing in women: effects of gender. Am J Respir Crit Care Med. 2001;163(3 Pt 1):608–13. PMID: 11254512. doi:10.1164/ajrccm.163.3.9911064.
  • Ahbab S, Ataoglu HE, Tuna M, Karasulu L, Cetin F, Temiz LU, Yenigun M. Neck circumference, metabolic syndrome and obstructive sleep apnea syndrome; evaluation of possible linkage. Med Sci Monit. 2013;19:111–17. PMID: 23403781 PMCID: PMC3628860. doi:10.12659/MSM.883776.
  • Onat A, Hergenç G, Yüksel H, Can G, Ayhan E, Kaya Z, Dursunoğlu D. Neck circumference as a measure of central obesity: associations with metabolic syndrome and obstructive sleep apnea syndrome beyond waist circumference. Clinical Nutrition. 2009;28(1):46–51. PMID: 19010573. doi:10.1016/j.clnu.2008.10.006.
  • Unal Y, Ozturk DA, Tosun K, Kutlu G. Association between obstructive sleep apnea syndrome and waist-to-height ratio. Sleep and Breathing. 2019;23(2):523–29. PMID: 30238284. doi:10.1007/s11325-018-1725-4.
  • Tom C, Roy B, Vig R, Kang DW, Aysola RS, Woo MA, Harper RM, Kumar R. Correlations between waist and neck circumferences and obstructive sleep apnea characteristics. Sleep and Vigilance. 2018;2(2):111–18. PMID: 30637368 PMCID: PMC6326580. doi:10.1007/s41782-018-0041-1.
  • Sutherland K, Lee RW, Cistulli PA. Obesity and craniofacial structure as risk factors for obstructive sleep apnoea: impact of ethnicity. Respirology. 2012;17(2):213–22. PMID: 21992683. doi:10.1111/j.1440-1843.2011.02082.x.
  • Berry RB, Brooks R, Gamaldo C, Harding SM, Lloyd RM, Quan SF, Troester MT, Vaughn BV. AASM scoring manual updates for 2017 (version 2.4). J Clin Sleep Med. 2017;13(5):665–66. PMID: 28416048 PMCID: PMC5406946. doi:10.5664/jcsm.6576.
  • Force AAoSMT. Sleep-related breathing disorders in adults: recommendations for syndrome definition and measurement techniques in clinical research. Sleep. 1999;22:667–89. PMID: 10450601. doi:10.1093/sleep/22.5.667.
  • Kapur VK, Baldwin CM, Resnick HE, Gottlieb DJ, Nieto FJ. Sleepiness in patients with moderate to severe sleep-disordered breathing. Sleep. 2005;28(4):472–77. PMID: 16171292. doi:10.1093/sleep/28.4.472.
  • Abad VC, Guilleminault C. Treatment options for obstructive sleep apnea. Curr Treat Options Neurol. 2009;11(5):358–67. PMID: 19744402. doi:10.1007/s11940-009-0040-6.
  • Hang LW, Wang HL, Chen JH, Hsu JC, Lin HH, Chung WS, Chen YF. Validation of overnight oximetry to diagnose patients with moderate to severe obstructive sleep apnea. BMC Pulm Med. 2015;15(1):24. PMID: 25880649 PMCID: PMC4407425. doi:10.1186/s12890-015-0017-z.
  • Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, Blondel M, Prettenhofer P, Weiss R, Dubourg V., et al. Scikit-learn: machine learning in python. The Journal of Machine Learning Research. 2011;12:2825–30.
  • Polo-Kantola P. Sleep and menopause. Womens Health (Lond). 2007;3(1):99–106. PMID: 19803869. doi:10.2217/17455057.3.1.99.
  • Sun LM, Chiu HW, Chuang CY, Liu L. A prediction model based on an artificial intelligence system for moderate to severe obstructive sleep apnea. Sleep Breath. 2011;15(3):317–23. PMID: 20602177. doi:10.1007/s11325-010-0384-x.
  • Liu WT, Wu HT, Juang JN, Wisniewski A, Lee HC, Wu D, Lo YL. Prediction of the severity of obstructive sleep apnea by anthropometric features via support vector machine. PLoS One. 2017;12(5):e0176991. PMID: 28472141 PMCID: PMC5417649. doi:10.1371/journal.pone.0176991.
  • Choksatchawathi T, Ponglertnapakorn P, Ditthapron A, Leelaarporn P, Wisutthisen T, Piriyajitakonkij M, Wilaiprasitporn T. Improving heart rate estimation on consumer grade wrist-worn device using post-calibration approach. IEEE Sens J. 2020;20(13):7433–46. doi:10.1109/JSEN.2020.2979191.
  • Breiman L. Random forests. Mach Learn. 2001;45(1):5–32. doi:10.1023/A:1010933404324.
  • DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;(3):837–45. PMID: 3203132. doi:10.2307/2531595.
  • Altmann A, Tolosi L, Sander O, Lengauer T. Permutation importance: a corrected feature importance measure. Bioinformatics. 2010;26(10):1340–47. PMID: 20385727. doi:10.1093/bioinformatics/btq134.
  • Archer KJ, Kimes RV. Empirical characterization of random forest variable importance measures. Comput Stat Data Anal. 2008;52(4):2249–60. doi:10.1016/j.csda.2007.08.015.
  • Pal M. Random forest classifier for remote sensing classification. Int J Remote Sens. 2005;26(1):217–22. doi:10.1080/01431160412331269698.
  • Liu D, Sun K. Random forest solar power forecast based on classification optimization. Energy. 2019;187:115940. doi:10.1016/j.energy.2019.115940.
  • Yang F, Wang H-Z, Mi H, Cai W-W. Using random forest for reliable classification and cost-sensitive learning for medical diagnosis. BMC Bioinform. 2009;10(1):S22. doi:10.1186/1471-2105-10-S1-S22.
  • Alickovic E, Subasi A. Medical decision support system for diagnosis of heart arrhythmia using DWT and random forests classifier. J Med Syst. 2016;40(4):108. PMID: 26922592. doi:10.1007/s10916-016-0467-8.
  • Ford ES, Li C, Wheaton AG, Chapman DP, Perry GS, Croft JB. Sleep duration and body mass index and waist circumference among US adults. Obesit. 2014;22(2):598–607. PMID: 23836704 PMCID: PMC4580243. doi:10.1002/oby.20558.
  • Gangwisch JE, Malaspina D, Boden-Albala B, Heymsfield SB. Inadequate sleep as a risk factor for obesity: analyses of the NHANES I. Sleep. 2005;28(10):1289–96. PMID: 16295214. doi:10.1093/sleep/28.10.1289.
  • Janssen I, Heymsfield SB, Allison DB, Kotler DP, Ross R. Body mass index and waist circumference independently contribute to the prediction of nonabdominal, abdominal subcutaneous, and visceral fat. Am J Clin Nutr. 2002;75(4):683–88. PMID: 11916754. doi:10.1093/ajcn/75.4.683.
  • Bouchard C. BMI, fat mass, abdominal adiposity and visceral fat: where is the ‘beef’? Int J Obes. 2007;31(10):1552–53. PMID: 17549092. doi:10.1038/sj.ijo.0803653.
  • Pillar G, Shehadeh N. Abdominal fat and sleep apnea: the chicken or the egg? Diabetes Care. 2008;31 Suppl 2(Supplement 2):S303–9. PMID: 18227501 PMCID: PMC2453667. doi:10.2337/dc08-s272.
  • Trombetta IC, Maki-Nunes C, Toschi-Dias E, Alves M-JN, Rondon MUP, Cepeda FX, Drager LF, Braga AMF, Lorenzi-Filho G, Negrao CE., et al. Obstructive sleep apnea is associated with increased chemoreflex sensitivity in patients with metabolic syndrome. Sleep. 2013;36(1):41–49. PMID: 23288970 PMCID: PMC3524508. doi:10.5665/sleep.2298.
  • Vgontzas AN, Bixler EO, Chrousos GP. Sleep apnea is a manifestation of the metabolic syndrome. Sleep Med Rev. 2005;9(3):211–24. PMID: 15893251. doi:10.1016/j.smrv.2005.01.006.
  • Ryan S, Arnaud C, Fitzpatrick SF, Gaucher J, Tamisier R, Pépin J-L. Adipose tissue as a key player in obstructive sleep apnoea. European Respiratory Review. 2019;28(152). PMID: 31243096. doi:10.1183/16000617.0006-2019.
  • Öğretmenoğlu O, Süslü AE, Öt Y, Önerci TM, Şahin A. Body fat composition: a predictive factor for obstructive sleep apnea. The Laryngoscope. 2005;115(8):1493–98. PMID: 16094131. doi:10.1097/01.mlg.0000172204.82314.c3.
  • Lam JCM, Lam B, Lam C-L, Fong D, Wang JKL, Tse H-F, Lam KSL, Ip MSM. Obstructive sleep apnea and the metabolic syndrome in community-based Chinese adults in Hong Kong. Respir Med. 2006;100(6):980–87. PMID: 16337115. doi:10.1016/j.rmed.2005.10.003.
  • Cremonini E, Bonaccorsi G, Bergamini CM, Castaldini C, Ferrazzini S, Capatti A, Massari L, Romani A, Marci R, Fila E, et al. Metabolic transitions at menopause: in post-menopausal women the increase in serum uric acid correlates with abdominal adiposity as assessed by DXA. Maturitas. 2013;75(1):62–66. PMID: 23415064. doi:10.1016/j.maturitas.2013.01.014.
  • Biswas R, Rahman M. Fazlee Kibria Chowdhury Md (2018) Relation of snoring habits with body mass index and neck circumference among adult population. J Sleep Disord Ther. 2018;7(293):2167–0277.1000293. doi:10.4172/2167-0277.1000293.
  • Strohl KP, Redline S. Recognition of obstructive sleep apnea. Am J Respir Crit Care Med. 1996;154(2 Pt 1):279–89. PMID: 8756795. doi:10.1164/ajrccm.154.2.8756795.
  • Young T, Peppard P, Palta M, Hla KM, Finn L, Morgan B, Skatrud J. Population-based study of sleep-disordered breathing as a risk factor for hypertension. Arch Intern Med. 1997;157(15):1746–52. PMID: 9250236. doi:10.1001/archinte.1997.00440360178019.
  • Carmelli D, Swan GE, Bliwise DL. Relationship of 30-year changes in obesity to sleep-disordered breathing in the Western collaborative group study. Obes Res. 2000;8(9):632–37. PMID: 11225711. doi:10.1038/oby.2000.81.
  • Kiral N, Salepçi B, Fidan A, Torun E, Cömert S, Saraç G, Havan A, Çaglayan B. Relationship between obstructive sleep apnea syndrome severity and age. Eur Respiratory Soc; 2011; 38: p2190.
  • Leppanen T, Toyras J, Mervaala E, Penzel T, Kulkas A. Severity of individual obstruction events increases with age in patients with obstructive sleep apnea. Sleep Med. 2017;37:32–37. PMID: 28899537. doi:10.1016/j.sleep.2017.06.004.
  • Geer EB, Shen W. Gender differences in insulin resistance, body composition, and energy balance. Gend Med. 2009;6(Suppl 1):60–75. PMID: 19318219 PMCID: PMC2908522. doi:10.1016/j.genm.2009.02.002.
  • Huang T, Lin BM, Markt SC, Stampfer MJ, Laden F, Hu FB, Tworoger SS, Redline S. Sex differences in the associations of obstructive sleep apnoea with epidemiological factors. Eur Respir J. 2018;51(3). PMID: 29449424 PMCID: PMC6110385. doi:10.1183/13993003.02421-2017.
  • Leelaarporn P, Wachiraphan P, Kaewlee T, Udsa T, Chaisaen R, Choksatchawathi T, Laosiriratet R, Lakhan P, Natnithikarat P, Thanontip K, et al. Sensor-Driven achieving of smart living: a review. IEEE Sens J. 2021;21(9):10369–91. doi:10.1109/JSEN.2021.3059304.
  • Zarei A, Asl BM. Automatic detection of obstructive sleep apnea using wavelet transform and entropy-based features from single-lead ECG signal. IEEE Journal of Biomedical and Health Informatics. 2018;23(3):1011–21. PMID: 29993564. doi:10.1109/JBHI.2018.2842919.
  • Deviaene M, Testelmans D, Buyse B, Borzée P, Van Huffel S, Varon C. Automatic screening of sleep apnea patients based on the SpO2 signal. IEEE Journal of Biomedical and Health Informatics. 2018;23(2):607–17. PMID: 29993790. doi:10.1109/JBHI.2018.2817368.
  • Gutiérrez-Tobal GC, Álvarez D, Crespo A, Del Campo F, Hornero R. Evaluation of machine-learning approaches to estimate sleep apnea severity from at-home oximetry recordings. IEEE Journal of Biomedical and Health Informatics. 2018;23(2):882–92. PMID: 29993673. doi:10.1109/JBHI.2018.2823384.
  • Lin C-L, Yeh C, Yen C-W, Hsu W-H, Hang L-W. Comparison of the indices of oxyhemoglobin saturation by pulse oximetry in obstructive sleep apnea hypopnea syndrome. Chest. 2009;135(1):86–93. PMID: 18689584. doi:10.1378/chest.08-0057.
  • Hanif U, Leary E, Schneider L, Paulsen R, Morse AM, Blackman A, Schweitzer P, Kushida CA, Liu S, Jennum P, et al. Estimation of Apnea-Hypopnea index using deep learning on 3D craniofacial scans. IEEE Journal of Biomedical and Health Informatics. 2021;25(11):4185–94. PMID: 33961569. doi:10.1109/JBHI.2021.3078127.
  • Lee RW, Vasudavan S, Hui DS, Prvan T, Petocz P, Darendeliler MA, Cistulli PA. Differences in craniofacial structures and obesity in caucasian and Chinese patients with obstructive sleep apnea. Sleep. 2010;33(8):1075–80. PMID: 20815189 PMCID: PMC2910536. doi:10.1093/sleep/33.8.1075.
  • Collop NA. Scoring variability between polysomnography technologists in different sleep laboratories. Sleep Med. 2002;3(1):43–47. PMID: 14592253. doi:10.1016/s1389-9457(01)00115-0.
  • Riedel BW, Winfield CF, Lichstein KL. First night effect and reverse first night effect in older adults with primary insomnia: does anxiety play a role? Sleep Med. 2001;2(2):125–33. PMID: 11226861. doi:10.1016/s1389-9457(00)00054-x.
  • Hizli O, Ozcan M, Unal A. Evaluation of comorbidities in patients with OSAS and simple snoring. ScientificWorldJournal. 2013;2013:709292. PMID: 23710145 PMCID: PMC3654252. doi:10.1155/2013/709292.
  • Veldi M, Ani R, Vaher H, Eller T, Hion T, Aluoja A, Vasar V. Obstructive sleep apnea syndrome (OSAS): pathophysiology in Estonians. Pathophysiology. 2010;17(3):219–23. PMID: 20116218. doi:10.1016/j.pathophys.2010.01.001.