{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,2]],"date-time":"2026-08-02T14:44:48Z","timestamp":1785681888956,"version":"3.56.0"},"reference-count":51,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T00:00:00Z","timestamp":1784073600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T00:00:00Z","timestamp":1784073600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["OBES SURG"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1007\/s11695-026-08831-x","type":"journal-article","created":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T01:06:13Z","timestamp":1784077573000},"page":"4334-4346","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Explainable Machine-Learning Model for Predicting Severe Obstructive Sleep Apnea in Patients Undergoing Metabolic Bariatric Surgery"],"prefix":"10.1007","volume":"36","author":[{"given":"Wenhui","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lili","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junsen","family":"Peng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cunchuan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guie","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiyong","family":"Dong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,15]]},"reference":[{"key":"8831_CR1","doi-asserted-by":"crossref","unstructured":"Park SK, Kang YJ, Lee SH, et al. Guideline for the management of obesity in adult patients with obstructive sleep apnea [J]. Clin Exp Otorhinolaryngol. 2026.","DOI":"10.21053\/ceo.2025-00396"},{"issue":"6","key":"8831_CR2","doi-asserted-by":"publisher","first-page":"778","DOI":"10.1016\/j.soard.2020.02.003","volume":"16","author":"GH Loo","year":"2020","unstructured":"Loo GH, Rajan R, Mohd Tamil A, Ritza Kosai. N,Prevalence of obstructive sleep apnea in an Asian bariatric population: an underdiagnosed dilemma [J]. Surg Obes Relat Dis. 2020;16(6):778\u201383.","journal-title":"Surg Obes Relat Dis"},{"issue":"5","key":"8831_CR3","doi-asserted-by":"publisher","first-page":"764","DOI":"10.1161\/CIRCRESAHA.125.325676","volume":"137","author":"E Tasali","year":"2025","unstructured":"Tasali E, Pamidi S, Covassin N, Somers. VK,Obstructive Sleep Apnea and Cardiometabolic Disease: Obesity, Hypertension, and Diabetes [J]. Circ Res. 2025;137(5):764\u201387.","journal-title":"Circ Res"},{"issue":"13","key":"8831_CR4","doi-asserted-by":"publisher","first-page":"1208","DOI":"10.1016\/j.jacc.2024.02.059","volume":"84","author":"S Javaheri","year":"2024","unstructured":"Javaheri S, Javaheri S, Somers VK, et al. Interactions of Obstructive Sleep Apnea With the Pathophysiology of Cardiovascular Disease, Part 1: JACC State-of-the-Art Review [J]. J Am Coll Cardiol. 2024;84(13):1208\u201323.","journal-title":"J Am Coll Cardiol"},{"issue":"10","key":"8831_CR5","doi-asserted-by":"publisher","first-page":"e0204904","DOI":"10.1371\/journal.pone.0204904","volume":"13","author":"M Nagappa","year":"2018","unstructured":"Nagappa M, Wong DT, Cozowicz C, et al. Is obstructive sleep apnea associated with difficult airway? Evidence from a systematic review and meta-analysis of prospective and retrospective cohort studies [J]. PLoS ONE. 2018;13(10):e0204904.","journal-title":"PLoS ONE"},{"issue":"5","key":"8831_CR6","doi-asserted-by":"publisher","first-page":"1032","DOI":"10.1378\/chest.13-1544","volume":"145","author":"PK Lindenauer","year":"2014","unstructured":"Lindenauer PK, Stefan MS, Johnson KG, et al. Prevalence, treatment, and outcomes associated with OSA among patients hospitalized with pneumonia [J]. Chest. 2014;145(5):1032\u20138.","journal-title":"Chest"},{"issue":"7","key":"8831_CR7","doi-asserted-by":"publisher","first-page":"2016","DOI":"10.1007\/s11695-023-06557-8","volume":"33","author":"T Katasani","year":"2023","unstructured":"Katasani T, Holt G, Al-Khyatt W, Idris. I,Peri- and Postoperative Outcomes for Obstructive Sleep Apnoea Patients after Bariatric Surgery-a Systematic Review and Meta-analysis [J]. Obes Surg. 2023;33(7):2016\u201324.","journal-title":"Obes Surg"},{"issue":"12","key":"8831_CR8","doi-asserted-by":"publisher","first-page":"2886","DOI":"10.1007\/s11695-016-2203-3","volume":"26","author":"WT Kong","year":"2016","unstructured":"Kong WT, Chopra S, Kopf M, et al. Perioperative Risks of Untreated Obstructive Sleep Apnea in the Bariatric Surgery Patient: a Retrospective Study [J]. Obes Surg. 2016;26(12):2886\u201390.","journal-title":"Obes Surg"},{"issue":"19","key":"8831_CR9","doi-asserted-by":"publisher","first-page":"1945","DOI":"10.1001\/jama.2022.20304","volume":"328","author":"CM Mangione","year":"2022","unstructured":"Mangione CM, Barry MJ, Nicholson WK, et al. Screening for Obstructive Sleep Apnea in Adults: US Preventive Services Task Force Recommendation Statement [J]. JAMA. 2022;328(19):1945\u201350.","journal-title":"JAMA"},{"key":"8831_CR10","doi-asserted-by":"publisher","first-page":"839","DOI":"10.2147\/NSS.S418093","volume":"15","author":"Y Ye","year":"2023","unstructured":"Ye Y, Yan ZL, Huang Y, et al. A Novel Clinical Tool to Detect Severe Obstructive Sleep Apnea [J]. Nat Sci Sleep. 2023;15:839\u201350.","journal-title":"Nat Sci Sleep"},{"issue":"4","key":"8831_CR11","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1097\/ALN.0000000000000407","volume":"121","author":"TC Mutter","year":"2014","unstructured":"Mutter TC, Chateau D, Moffatt M, et al. A matched cohort study of postoperative outcomes in obstructive sleep apnea: could preoperative diagnosis and treatment prevent complications? [J]. Anesthesiology. 2014;121(4):707\u201318.","journal-title":"Anesthesiology"},{"issue":"18","key":"8831_CR12","doi-asserted-by":"publisher","first-page":"1788","DOI":"10.1001\/jama.2019.4783","volume":"321","author":"MTV Chan","year":"2019","unstructured":"Chan MTV, Wang CY, Seet E, et al. Association of Unrecognized Obstructive Sleep Apnea With Postoperative Cardiovascular Events in Patients Undergoing Major Noncardiac Surgery [J]. JAMA. 2019;321(18):1788\u201398.","journal-title":"JAMA"},{"issue":"5","key":"8831_CR13","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1016\/S2213-2600(25)00002-5","volume":"13","author":"AV Benjafield","year":"2025","unstructured":"Benjafield AV, Pepin JL, Cistulli PA, et al. Positive airway pressure therapy and all-cause and cardiovascular mortality in people with obstructive sleep apnoea: a systematic review and meta-analysis of randomised controlled trials and confounder-adjusted, non-randomised controlled studies [J]. Lancet Respir Med. 2025;13(5):403\u201313.","journal-title":"Lancet Respir Med"},{"issue":"12","key":"8831_CR14","doi-asserted-by":"publisher","first-page":"2193","DOI":"10.5664\/jcsm.11864","volume":"21","author":"R Mehra","year":"2025","unstructured":"Mehra R, Auckley DH, Johnson KG, et al. Evaluation and management of obstructive sleep apnea in adults hospitalized for medical care: an American Academy of Sleep Medicine clinical practice guideline [J]. J Clin Sleep Med. 2025;21(12):2193\u2013203.","journal-title":"J Clin Sleep Med"},{"issue":"1","key":"8831_CR15","doi-asserted-by":"publisher","first-page":"366","DOI":"10.1186\/s12871-022-01912-1","volume":"22","author":"M Hwang","year":"2022","unstructured":"Hwang M, Nagappa M, Guluzade N, et al. Validation of the STOP-Bang questionnaire as a preoperative screening tool for obstructive sleep apnea: a systematic review and meta-analysis [J]. BMC Anesthesiol. 2022;22(1):366.","journal-title":"BMC Anesthesiol"},{"key":"8831_CR16","doi-asserted-by":"crossref","unstructured":"Cho T, Yan E, Chung. F,The STOP-Bang questionnaire: a narrative review on its utilization in different populations and settings [J]. Sleep Med Rev. 2024;78(102007).","DOI":"10.1016\/j.smrv.2024.102007"},{"issue":"3","key":"8831_CR17","doi-asserted-by":"publisher","first-page":"e211009","DOI":"10.1001\/jamanetworkopen.2021.1009","volume":"4","author":"B Pivetta","year":"2021","unstructured":"Pivetta B, Chen L, Nagappa M, et al. Use and Performance of the STOP-Bang Questionnaire for Obstructive Sleep Apnea Screening Across Geographic Regions: A Systematic Review and Meta-Analysis [J]. JAMA Netw Open. 2021;4(3):e211009.","journal-title":"JAMA Netw Open"},{"issue":"3","key":"8831_CR18","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1111\/anae.15571","volume":"77","author":"R Morinigo","year":"2022","unstructured":"Morinigo R, Quraishi SA, Ewing S, Azocar RJ, Schumann. R,The B-APNEIC score: distilling the STOP-Bang questionnaire to identify patients at high risk for severe obstructive sleep apnoea [J]. Anaesthesia. 2022;77(3):286\u201392.","journal-title":"Anaesthesia"},{"issue":"5","key":"8831_CR19","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1590\/S1806-37132015000000027","volume":"41","author":"RL Duarte","year":"2015","unstructured":"Duarte RL, Magalh\u00e3es-da-Silveira. FJ,Factors predictive of obstructive sleep apnea in patients undergoing pre-operative evaluation for bariatric surgery and referred to a sleep laboratory for polysomnography [J]. J Bras Pneumol. 2015;41(5):440\u20138.","journal-title":"J Bras Pneumol"},{"issue":"7","key":"8831_CR20","doi-asserted-by":"publisher","first-page":"1097","DOI":"10.5664\/jcsm.7202","volume":"14","author":"RLM Duarte","year":"2018","unstructured":"Duarte RLM, Rabahi MF, Magalh\u00e3es-da-Silveira FJ, et al. Simplifying the Screening of Obstructive Sleep Apnea With a 2-Item Model, No-Apnea: A Cross-Sectional Study [J]. J Clin Sleep Med. 2018;14(7):1097\u2013107.","journal-title":"J Clin Sleep Med"},{"issue":"9","key":"8831_CR21","doi-asserted-by":"publisher","first-page":"742","DOI":"10.1016\/S2213-2600(16)30075-3","volume":"4","author":"H Marti-Soler","year":"2016","unstructured":"Marti-Soler H, Hirotsu C, Marques-Vidal P, et al. The NoSAS score for screening of sleep-disordered breathing: a derivation and validation study [J]. Lancet Respir Med. 2016;4(9):742\u20138.","journal-title":"Lancet Respir Med"},{"issue":"12","key":"8831_CR22","doi-asserted-by":"publisher","first-page":"1444","DOI":"10.1016\/j.soard.2023.07.007","volume":"19","author":"H Qin","year":"2023","unstructured":"Qin H, Wang Y, Chen X, et al. The efficacy of bariatric surgery on pulmonary function and sleep architecture of patients with obstructive sleep apnea and co-morbid obesity: a systematic review and meta-analysis [J]. Surg Obes Relat Dis. 2023;19(12):1444\u201357.","journal-title":"Surg Obes Relat Dis"},{"key":"8831_CR23","doi-asserted-by":"crossref","unstructured":"Chen S, Deng T, Yang Q et al. Development and validation of an explainable machine learning model for predicting postoperative pulmonary complications after lung cancer surgery: a machine learning study [J]. EClinicalMed. 2025;86(103386).","DOI":"10.1016\/j.eclinm.2025.103386"},{"key":"8831_CR24","doi-asserted-by":"crossref","unstructured":"Ning C, Ouyang H, Xiao J et al. Development and validation of an explainable machine learning model for mortality prediction among patients with infected pancreatic necrosis [J]. EClinicalMed. 2025;80(103074).","DOI":"10.1016\/j.eclinm.2025.103074"},{"key":"8831_CR25","doi-asserted-by":"crossref","unstructured":"Wu Z, Li Y, Wang D, et al. Risk determinants of Type 2 diabetes mellitus with severe obesity and prediction model for diabetes remission after bariatric metabolic surgery [J]. Diabetes Metab J. 2025.","DOI":"10.4093\/dmj.2025.0337"},{"key":"8831_CR26","unstructured":"Collins GS, Moons KGM, Dhiman P et al. TRIPOD\u2009+\u2009AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods [J]. BMJ. 2024;385: e078378."},{"key":"8831_CR27","doi-asserted-by":"crossref","unstructured":"Efthimiou O, Seo M, Chalkou K et al. Developing clinical prediction models: a step-by-step guide [J]. BMJ. 2024; 386:e078276.","DOI":"10.1136\/bmj-2023-078276"},{"issue":"6","key":"8831_CR28","doi-asserted-by":"publisher","first-page":"380","DOI":"10.5582\/ddt.2015.01207","volume":"9","author":"Q Tang","year":"2015","unstructured":"Tang Q, Li X, Song P, Xu. L,Optimal cut-off values for the homeostasis model assessment of insulin resistance (HOMA-IR) and pre-diabetes screening: Developments in research and prospects for the future [J]. Drug Discov Ther. 2015;9(6):380\u20135.","journal-title":"Drug Discov Ther"},{"key":"8831_CR29","unstructured":"Mellitus. CDSJCJD, Guideline for the prevention and treatment of diabetes mellitus in China (2024 edition) [J]. 2025;17(1):16\u2013139."},{"issue":"3","key":"8831_CR30","doi-asserted-by":"publisher","first-page":"631","DOI":"10.1378\/chest.15-0903","volume":"149","author":"F Chung","year":"2016","unstructured":"Chung F, Abdullah HR, Liao P. A Practical Approach to Screen for Obstructive Sleep Apnea [J]. Chest. 2016;149(3):631\u20138.","journal-title":"Chest"},{"issue":"3","key":"8831_CR31","doi-asserted-by":"publisher","first-page":"479","DOI":"10.5664\/jcsm.6506","volume":"13","author":"VK Kapur","year":"2017","unstructured":"Kapur VK, Auckley DH, Chowdhuri S, et al. Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline [J]. J Clin Sleep Med. 2017;13(3):479\u2013504.","journal-title":"J Clin Sleep Med"},{"key":"8831_CR32","doi-asserted-by":"crossref","unstructured":"Riley RD, Ensor J, Snell KIE, et al. Calculating the sample size required for developing a clinical prediction model [J]. BMJ. 2020;368:m441.","DOI":"10.1136\/bmj.m441"},{"issue":"1","key":"8831_CR33","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1038\/s42256-019-0138-9","volume":"2","author":"SM Lundberg","year":"2020","unstructured":"Lundberg SM, Erion G, Chen H, et al. From Local Explanations to Global Understanding with Explainable AI for Trees [J]. Nat Mach Intell. 2020;2(1):56\u201367.","journal-title":"Nat Mach Intell"},{"issue":"11","key":"8831_CR34","doi-asserted-by":"publisher","first-page":"1154","DOI":"10.1016\/j.soard.2024.06.004","volume":"20","author":"MS Turbati","year":"2024","unstructured":"Turbati MS, Kindel TL, Higgins. RM,Identifying the optimal STOP-Bang screening score for obstructive sleep apnea among bariatric surgery patients [J]. Surg Obes Relat Dis. 2024;20(11):1154\u201362.","journal-title":"Surg Obes Relat Dis"},{"issue":"3","key":"8831_CR35","doi-asserted-by":"publisher","first-page":"1972","DOI":"10.1111\/dom.70383","volume":"28","author":"J Feng","year":"2026","unstructured":"Feng J, Chen W, Zhang Z, et al. Obstructive sleep apnea is associated with greater MASH and significant fibrosis severity in patients with obesity: A prospective clinicopathological study [J]. Diabetes Obes Metab. 2026;28(3):1972\u201383.","journal-title":"Diabetes Obes Metab"},{"issue":"3","key":"8831_CR36","doi-asserted-by":"publisher","first-page":"841","DOI":"10.1007\/s11325-018-1625-7","volume":"22","author":"S Jin","year":"2018","unstructured":"Jin S, Jiang S, Hu. A,Association between obstructive sleep apnea and non-alcoholic fatty liver disease: a systematic review and meta-analysis [J]. Sleep Breath. 2018;22(3):841\u201351.","journal-title":"Sleep Breath"},{"issue":"10","key":"8831_CR37","doi-asserted-by":"publisher","first-page":"690","DOI":"10.1038\/s41581-024-00848-8","volume":"20","author":"Lyons","year":"2024","unstructured":"Lyons. OD,Sleep disorders in chronic kidney disease [J]. Nat Rev Nephrol. 2024;20(10):690\u2013700.","journal-title":"Nat Rev Nephrol"},{"key":"8831_CR38","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1007\/5584_2017_35","volume":"1022","author":"J Yayan","year":"2017","unstructured":"Yayan J, Rasche K, Vlachou. A,Obstructive Sleep Apnea and Chronic Kidney Disease [J]. Adv Exp Med Biol. 2017;1022:11\u20138.","journal-title":"Adv Exp Med Biol"},{"key":"8831_CR39","doi-asserted-by":"publisher","first-page":"1205","DOI":"10.2147\/NSS.S503387","volume":"17","author":"X Liu","year":"2025","unstructured":"Liu X, Liu M, Zhong B, et al. Exploring Bidirectional Causality between Obstructive Sleep Apnea and Chronic Kidney Disease via Mendelian Randomization [J]. Nat Sci Sleep. 2025;17:1205\u201315.","journal-title":"Nat Sci Sleep"},{"key":"8831_CR40","doi-asserted-by":"publisher","first-page":"377","DOI":"10.2147\/NSS.S226143","volume":"11","author":"N Li","year":"2019","unstructured":"Li N, Li HP, Wang P, et al. Nocturnal Mean Oxygen Saturation Is Associated with Secondary Polycythemia in Young Adults with Obstructive Sleep Apnea, Especially in Men [J]. Nat Sci Sleep. 2019;11:377\u201386.","journal-title":"Nat Sci Sleep"},{"issue":"2","key":"8831_CR41","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1007\/s11325-021-02383-3","volume":"26","author":"E Cummins","year":"2022","unstructured":"Cummins E, Waseem R, Piyasena D, et al. Can the complete blood count be used as a reliable screening tool for obstructive sleep apnea? [J]. Sleep Breath. 2022;26(2):613\u201320.","journal-title":"Sleep Breath"},{"issue":"2","key":"8831_CR42","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1007\/s11325-025-03330-2","volume":"29","author":"P Guerra","year":"2025","unstructured":"Guerra P, Alfaiate D, Pinto N, Pereira T, Pereira. A,Impact of obstructive sleep apnea on hematocrit levels and erythrocytosis - a clinical study [J]. Sleep Breath. 2025;29(2):181.","journal-title":"Sleep Breath"},{"issue":"1","key":"8831_CR43","doi-asserted-by":"publisher","first-page":"889","DOI":"10.1080\/16078454.2022.2109346","volume":"27","author":"V Martelli","year":"2022","unstructured":"Martelli V, Carelli E, Tomlinson GA, et al. Prevalence of elevated hemoglobin and hematocrit levels in patients with obstructive sleep apnea and the impact of treatment with continuous positive airway pressure: a meta-analysis [J]. Hematology. 2022;27(1):889\u2013901.","journal-title":"Hematology"},{"issue":"5","key":"8831_CR44","doi-asserted-by":"publisher","first-page":"1070","DOI":"10.1016\/j.chest.2017.05.009","volume":"152","author":"S Reutrakul","year":"2017","unstructured":"Reutrakul S, Mokhlesi B. Obstructive Sleep Apnea and Diabetes: A State of the Art Review [J]. Chest. 2017;152(5):1070\u201386.","journal-title":"Chest"},{"issue":"3","key":"8831_CR45","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1111\/dme.14211","volume":"37","author":"GM Nefs","year":"2020","unstructured":"Nefs GM, Bazelmans E, Donga E, Tack CJ, de Galan. BE,Sweet dreams or bitter nightmare: a narrative review of 25 years of research on the role of sleep in diabetes and the contributions of behavioural science [J]. Diabet Med. 2020;37(3):418\u201326.","journal-title":"Diabet Med"},{"key":"8831_CR46","doi-asserted-by":"crossref","unstructured":"Thiruvenkatarajan V, Khoo BTJ, Roy A, et al. Validation and diagnostic performance of the novel B-APNEIC score for predicting severe obstructive sleep apnoea: a cross-sectional study in an Australian population [J]. Anaesthesia. 2025.","DOI":"10.2139\/ssrn.5372111"},{"issue":"11","key":"8831_CR47","doi-asserted-by":"publisher","first-page":"2028","DOI":"10.1002\/oby.23021","volume":"28","author":"KY Kreitinger","year":"2020","unstructured":"Kreitinger KY, Lui MMS, Owens RL, et al. Screening for Obstructive Sleep Apnea in a Diverse Bariatric Surgery Population [J]. Obes (Silver Spring). 2020;28(11):2028\u201334.","journal-title":"Obes (Silver Spring)"},{"key":"8831_CR48","doi-asserted-by":"crossref","unstructured":"Liu L, Tang P, Chiu JW, et al. Validation performance of screening tools for predicting obstructive sleep apnea among Chinese patients undergoing metabolic bariatric surgery: insights from a multicenter database [J]. Obes Surg. 2026.","DOI":"10.1007\/s11695-026-08723-0"},{"key":"8831_CR49","doi-asserted-by":"crossref","unstructured":"Xu L, Keenan BT, Wiemken AS et al. Differences in three-dimensional upper airway anatomy between Asian and European patients with obstructive sleep apnea [J]. Sleep. 2020;43(5):zsz273.","DOI":"10.1093\/sleep\/zsz273"},{"issue":"7","key":"8831_CR50","doi-asserted-by":"publisher","first-page":"690","DOI":"10.1111\/resp.13838","volume":"25","author":"MM Lyons","year":"2020","unstructured":"Lyons MM, Bhatt NY, Pack AI, Magalang. UJ,Global burden of sleep-disordered breathing and its implications [J]. Respirology. 2020;25(7):690\u2013702.","journal-title":"Respirology"},{"key":"8831_CR51","doi-asserted-by":"publisher","first-page":"2575","DOI":"10.2147\/NSS.S526631","volume":"17","author":"S Li","year":"2025","unstructured":"Li S, Huang J, Xiao Z, Fan. C,Advances in Machine Learning Prediction Models for the Screening of Obstructive Sleep Apnea in Adults [J]. Nat Sci Sleep. 2025;17:2575\u201395.","journal-title":"Nat Sci Sleep"}],"container-title":["Obesity Surgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11695-026-08831-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11695-026-08831-x","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11695-026-08831-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,2]],"date-time":"2026-08-02T13:58:26Z","timestamp":1785679106000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11695-026-08831-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,15]]},"references-count":51,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2026,8]]}},"alternative-id":["8831"],"URL":"https:\/\/doi.org\/10.1007\/s11695-026-08831-x","relation":{},"ISSN":["0960-8923","1708-0428"],"issn-type":[{"value":"0960-8923","type":"print"},{"value":"1708-0428","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,15]]},"assertion":[{"value":"5 June 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 June 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 July 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 July 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Informed consent was obtained from all individual participants included in the study.","order":1,"name":"Ethics","label":"Informed Consent","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","label":"Competing Interests","group":{"name":"EthicsHeading","label":"Declarations"}}]}}