Machine learning algorithms using national registry data to predict loss to follow- up during tuberculosis treatment.
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| Title: | Machine learning algorithms using national registry data to predict loss to follow- up during tuberculosis treatment. |
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| Authors: | Rodrigues MMS; Fundação Oswaldo Cruz., Barreto-Duarte B; Universidade Salvador., Vinhaes CL; Escola Bahiana de Medicina e Saúde Pública., Araújo-Pereira M; Centro Universitário Faculdade de Tecnologia e Ciências., Fukutani ER; Instituto Gonçalo Moniz, Fundação Oswaldo Cruz., Bergamaschi KB; Fundação Oswaldo Cruz., Kristki A; Universidade Federal do Rio de Janeiro., Cordeiro-Santos M; Fundação Medicina Tropical Doutor Heitor Vieira Dourado., Rolla VC; Instituto Nacional de Infectologia Evandro Chagas., Sterling TR; Vanderbilt University School of Medicine., Queiroz ATL; Fundação Oswaldo Cruz., Andrade BB; Instituto Gonçalo Moniz, Fundação Oswaldo Cruz. |
| Source: | Research square [Res Sq] 2023 Dec 11. Date of Electronic Publication: 2023 Dec 11. |
| Publication Type: | Preprint; Journal Article |
| Journal Info: | Country of Publication: United States NLM ID: 101768035 Publication Model: Electronic Cited Medium: Internet ISSN: 2693-5015 (Electronic) Linking ISSN: 26935015 NLM ISO Abbreviation: Res Sq Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38168296 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Machine learning algorithms using national registry data to predict loss to follow- up during tuberculosis treatment. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Rodrigues+MMS%22">Rodrigues MMS</searchLink>; Fundação Oswaldo Cruz.<br /><searchLink fieldCode="AU" term="%22Barreto-Duarte+B%22">Barreto-Duarte B</searchLink>; Universidade Salvador.<br /><searchLink fieldCode="AU" term="%22Vinhaes+CL%22">Vinhaes CL</searchLink>; Escola Bahiana de Medicina e Saúde Pública.<br /><searchLink fieldCode="AU" term="%22Araújo-Pereira+M%22">Araújo-Pereira M</searchLink>; Centro Universitário Faculdade de Tecnologia e Ciências.<br /><searchLink fieldCode="AU" term="%22Fukutani+ER%22">Fukutani ER</searchLink>; Instituto Gonçalo Moniz, Fundação Oswaldo Cruz.<br /><searchLink fieldCode="AU" term="%22Bergamaschi+KB%22">Bergamaschi KB</searchLink>; Fundação Oswaldo Cruz.<br /><searchLink fieldCode="AU" term="%22Kristki+A%22">Kristki A</searchLink>; Universidade Federal do Rio de Janeiro.<br /><searchLink fieldCode="AU" term="%22Cordeiro-Santos+M%22">Cordeiro-Santos M</searchLink>; Fundação Medicina Tropical Doutor Heitor Vieira Dourado.<br /><searchLink fieldCode="AU" term="%22Rolla+VC%22">Rolla VC</searchLink>; Instituto Nacional de Infectologia Evandro Chagas.<br /><searchLink fieldCode="AU" term="%22Sterling+TR%22">Sterling TR</searchLink>; Vanderbilt University School of Medicine.<br /><searchLink fieldCode="AU" term="%22Queiroz+ATL%22">Queiroz ATL</searchLink>; Fundação Oswaldo Cruz.<br /><searchLink fieldCode="AU" term="%22Andrade+BB%22">Andrade BB</searchLink>; Instituto Gonçalo Moniz, Fundação Oswaldo Cruz. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101768035%22">Research square</searchLink> [Res Sq] 2023 Dec 11. <i>Date of Electronic Publication: </i>2023 Dec 11. – Name: TypePub Label: Publication Type Group: TypPub Data: Preprint; Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Country of Publication: </i>United States <i>NLM ID: </i>101768035 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2693-5015 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226935015%22">26935015 </searchLink><i>NLM ISO Abbreviation: </i>Res Sq <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38168296 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.21203/rs.3.rs-3706875/v1 Languages: – Code: eng Text: English Titles: – TitleFull: Machine learning algorithms using national registry data to predict loss to follow- up during tuberculosis treatment. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rodrigues MMS – PersonEntity: Name: NameFull: Barreto-Duarte B – PersonEntity: Name: NameFull: Vinhaes CL – PersonEntity: Name: NameFull: Araújo-Pereira M – PersonEntity: Name: NameFull: Fukutani ER – PersonEntity: Name: NameFull: Bergamaschi KB – PersonEntity: Name: NameFull: Kristki A – PersonEntity: Name: NameFull: Cordeiro-Santos M – PersonEntity: Name: NameFull: Rolla VC – PersonEntity: Name: NameFull: Sterling TR – PersonEntity: Name: NameFull: Queiroz ATL – PersonEntity: Name: NameFull: Andrade BB IsPartOfRelationships: – BibEntity: Dates: – D: 11 M: 12 Text: 2023 Dec 11 Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 2693-5015 Titles: – TitleFull: Research square Type: main |
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