A Study on Improving Sleep Apnea Diagnoses Using Machine Learning Based on the STOP-BANG Questionnaire.
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| Title: | A Study on Improving Sleep Apnea Diagnoses Using Machine Learning Based on the STOP-BANG Questionnaire. |
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| Authors: | Choi, Myoung-Su1, mschoi@eulji.ac.kr, Han, Dong-Hun2, d555v@naver.com, Choi, Jun-Woo3, chlwnsdn456@naver.com, Kang, Min-Soo4, mskang@eulji.ac.kr |
| Source: | Applied Sciences (2076-3417); Apr2024, Vol. 14 Issue 7, p3117, 13p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 176597334 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app14073117 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 3117 Titles: – TitleFull: A Study on Improving Sleep Apnea Diagnoses Using Machine Learning Based on the STOP-BANG Questionnaire. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Choi, Myoung-Su – PersonEntity: Name: NameFull: Han, Dong-Hun – PersonEntity: Name: NameFull: Choi, Jun-Woo – PersonEntity: Name: NameFull: Kang, Min-Soo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 14 – Type: issue Value: 7 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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