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.
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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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: A Study on Improving Sleep Apnea Diagnoses Using Machine Learning Based on the STOP-BANG Questionnaire.
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  Data: <searchLink fieldCode="AU" term="%22Choi%2C+Myoung-Su%22">Choi, Myoung-Su</searchLink><relatesTo>1</relatesTo>, <i>mschoi@eulji.ac.kr</i><br /><searchLink fieldCode="AU" term="%22Han%2C+Dong-Hun%22">Han, Dong-Hun</searchLink><relatesTo>2</relatesTo>, <i>d555v@naver.com</i><br /><searchLink fieldCode="AU" term="%22Choi%2C+Jun-Woo%22">Choi, Jun-Woo</searchLink><relatesTo>3</relatesTo>, <i>chlwnsdn456@naver.com</i><br /><searchLink fieldCode="AU" term="%22Kang%2C+Min-Soo%22">Kang, Min-Soo</searchLink><relatesTo>4</relatesTo>, <i>mskang@eulji.ac.kr</i>
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  Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Apr2024, Vol. 14 Issue 7, p3117, 13p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=176597334
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      – Type: doi
        Value: 10.3390/app14073117
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      – Code: eng
        Text: English
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      – TitleFull: A Study on Improving Sleep Apnea Diagnoses Using Machine Learning Based on the STOP-BANG Questionnaire.
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            NameFull: Choi, Myoung-Su
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            NameFull: Han, Dong-Hun
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            NameFull: Choi, Jun-Woo
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              Text: Apr2024
              Type: published
              Y: 2024
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              Value: 14
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