Art
J-GLOBAL ID:202402230261785686   Reference number:24A0664151

Pediatric obstructive sleep apnea diagnosis: leveraging machine learning with linear discriminant analysis

小児閉塞性睡眠時無呼吸診断:線形判別分析による学習機械学習【JST・京大機械翻訳】
Author (18):
Material:
Volume: 12  Page: 1328209  Publication year: 2024 
JST Material Number: U7090A  ISSN: 2296-2360  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
Abstract/Point:
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JST classification (3):
JST classification
Category name(code) classified by JST.
Biometry  ,  Respiratory system diseases  ,  Respiratory system diagnosis 
Reference (54):
  • KaditisAG, Alonso AlvarezML, BoudewynsA, AlexopoulosEI, ErsuR, JoostenK, et al Obstructive sleep disordered breathing in 2- to 18-year-old children: diagnosis and management. Eur Respir J. (2016) 47:69-94. doi: 10.1183/13993003.00385-2015
  • MarcusCL, BrooksLJ, DraperKA, GozalD, HalbowerAC, JonesJ, et al Diagnosis and management of childhood obstructive sleep apnea syndrome. Pediatrics. (2012) 130:e714-755. doi: 10.1542/peds.2012-1672
  • RocheJ, IsaccoL, MasurierJ, PereiraB, MouginF, ChaputJP, et al Are obstructive sleep apnea and sleep improved in response to multidisciplinary weight loss interventions in youth with obesity? A systematic review and meta-analysis. Int J Obes (Lond). (2020) 44:753-70. doi: 10.1038/s41366-019-0497-7
  • TanHL, GozalD, Kheirandish-GozalL. Obstructive sleep apnea in children: a critical update. Nat Sci Sleep. (2013) 5:109-23. doi: 10.2147/NSS.S51907
  • KangKT, ChiuSN, WengWC, LeePL, HsuWC. Comparisons of office and 24-hour ambulatory blood pressure monitoring in children with obstructive sleep apnea. J Pediatr. (2017) 182:177-183.e2. doi: 10.1016/j.jpeds.2016.11.032
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