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A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models.

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Title: A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models.
Authors: Fouladvand S, Talbert J, Dwoskin LP, Bush H, Meadows AL, Peterson LE, Mishra YR, Roggenkamp SK, Wang F, Kavuluru R, Chen J
Source: IEEE journal of biomedical and health informatics [IEEE J Biomed Health Inform] 2023 Jul; Vol. 27 (7), pp. 3589-3598. Date of Electronic Publication: 2023 Jun 30.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 101604520 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2168-2208 (Electronic) Linking ISSN: 21682194 NLM ISO Abbreviation: IEEE J Biomed Health Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 37037255
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models.
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  Data: <searchLink fieldCode="AU" term="%22Fouladvand+S%22">Fouladvand S</searchLink><br /><searchLink fieldCode="AU" term="%22Talbert+J%22">Talbert J</searchLink><br /><searchLink fieldCode="AU" term="%22Dwoskin+LP%22">Dwoskin LP</searchLink><br /><searchLink fieldCode="AU" term="%22Bush+H%22">Bush H</searchLink><br /><searchLink fieldCode="AU" term="%22Meadows+AL%22">Meadows AL</searchLink><br /><searchLink fieldCode="AU" term="%22Peterson+LE%22">Peterson LE</searchLink><br /><searchLink fieldCode="AU" term="%22Mishra+YR%22">Mishra YR</searchLink><br /><searchLink fieldCode="AU" term="%22Roggenkamp+SK%22">Roggenkamp SK</searchLink><br /><searchLink fieldCode="AU" term="%22Wang+F%22">Wang F</searchLink><br /><searchLink fieldCode="AU" term="%22Kavuluru+R%22">Kavuluru R</searchLink><br /><searchLink fieldCode="AU" term="%22Chen+J%22">Chen J</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22101604520%22">IEEE journal of biomedical and health informatics</searchLink> [IEEE J Biomed Health Inform] 2023 Jul; Vol. 27 (7), pp. 3589-3598. <i>Date of Electronic Publication: </i>2023 Jun 30.
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  Data: Journal Article; Research Support, Non-U.S. Gov't
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Institute+of+Electrical+and+Electronics+Engineers%22">Institute of Electrical and Electronics Engineers </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101604520 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2168-2208 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2221682194%22">21682194 </searchLink><i>NLM ISO Abbreviation: </i>IEEE J Biomed Health Inform <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37037255
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1109/JBHI.2023.3265920
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      – Code: eng
        Text: English
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        StartPage: 3589
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      – TitleFull: A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models.
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            NameFull: Fouladvand S
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            NameFull: Dwoskin LP
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          Dates:
            – D: 01
              M: 07
              Text: 2023 Jul
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-electronic
              Value: 2168-2208
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              Value: 27
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              Value: 7
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            – TitleFull: IEEE journal of biomedical and health informatics
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