Chih-Kuo Lee, Jhen-Wei Hong, Chia-Ling Wu, Jia-Ming Hou, Yen-An Lin, Kuan-Chih Huang, Po-Hsuan Tseng
Real-time coronary artery segmentation in CAG images: A semi-supervised deep learning strategy
Artificial intelligence in medicine
investigation examines sleep disorder sd diagnoses large population children adolescents chronic medical conditions cmcs little known sd diagnoses population large population used study allowed examination sd rates cmc type demographics data coordinated health care complex kids check project designed medicaidfunded children adolescents least 1 cmc large metropolitan area study population n 16609 limited children adolescents 0 18 years age sd cmc diagnoses obtained medicaid claims data fourteen percent population mean age 91 years standard deviation 52 358 african american 564 male 77 1 cmc received sleep disorder diagnosis frequent diagnosis sleepdisordered breathing 112 followed nocturnal enuresis 12 insomnia 1 sds diagnosed frequently multiple cmcs 1 cmc 197 vs 58 p 001 insomnia rates hispaniclatinx 12 african american 08 children adolescents significantly lower p 001 caucasians 35 odds receiving sleep diagnosis varied among cmcs analysis medicaid claims data large urban cohort offers detailed information rates sleep diagnoses suggests underdiagnosis sds vulnerable highrisk primarily ethnic minority population underrecognition sleep disorders short longterm health economic consequences study results may help clinicians implement appropriate sd screening management children adolescents cmcs adavadkar pa pappalardo aa glassgow ae et al rates diagnoses sleep disorders children chronic medical conditions j clin sleep med 202218820012007