Using machine learning to predict sudden gains in intensive treatment for PTSD.
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| Title: | Using machine learning to predict sudden gains in intensive treatment for PTSD. |
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| Authors: | Christ NM; Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA., Schubert RA; Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA., Mundle R; Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA., Pridgen S; Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA., Held P; Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA. Electronic address: Philip_Held@rush.edu. |
| Source: | Journal of anxiety disorders [J Anxiety Disord] 2023 Dec; Vol. 100, pp. 102783. Date of Electronic Publication: 2023 Oct 09. |
| Publication Type: | Journal Article; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 8710131 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7897 (Electronic) Linking ISSN: 08876185 NLM ISO Abbreviation: J Anxiety Disord Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37871453 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Using machine learning to predict sudden gains in intensive treatment for PTSD. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Christ+NM%22">Christ NM</searchLink>; Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA.<br /><searchLink fieldCode="AU" term="%22Schubert+RA%22">Schubert RA</searchLink>; Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA.<br /><searchLink fieldCode="AU" term="%22Mundle+R%22">Mundle R</searchLink>; Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA.<br /><searchLink fieldCode="AU" term="%22Pridgen+S%22">Pridgen S</searchLink>; Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA.<br /><searchLink fieldCode="AU" term="%22Held+P%22">Held P</searchLink>; Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA. Electronic address: Philip&#95;Held@rush.edu. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228710131%22">Journal of anxiety disorders</searchLink> [J Anxiety Disord] 2023 Dec; Vol. 100, pp. 102783. <i>Date of Electronic Publication: </i>2023 Oct 09. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, U.S. Gov't, Non-P.H.S. – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>8710131 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1873-7897 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208876185%22">08876185 </searchLink><i>NLM ISO Abbreviation: </i>J Anxiety Disord <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37871453 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.janxdis.2023.102783 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 102783 Titles: – TitleFull: Using machine learning to predict sudden gains in intensive treatment for PTSD. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Christ NM – PersonEntity: Name: NameFull: Schubert RA – PersonEntity: Name: NameFull: Mundle R – PersonEntity: Name: NameFull: Pridgen S – PersonEntity: Name: NameFull: Held P IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2023 Dec Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1873-7897 Numbering: – Type: volume Value: 100 Titles: – TitleFull: Journal of anxiety disorders Type: main |
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