Utilising artificial intelligence to determine patients at risk of a rare disease: idiopathic pulmonary arterial hypertension.
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| Title: | Utilising artificial intelligence to determine patients at risk of a rare disease: idiopathic pulmonary arterial hypertension. |
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| Authors: | Kiely DG; Sheffield Pulmonary Vascular Disease Unit, Royal Hallamshire Hospital, Sheffield, UK.; Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK.; INSIGNEO, University of Sheffield, Sheffield, UK., Doyle O; Real-World & Analytical Solutions, IQVIA, London, UK., Drage E; Real-World & Analytical Solutions, IQVIA, London, UK., Jenner H; Real-World & Analytical Solutions, IQVIA, London, UK., Salvatelli V; Real-World & Analytical Solutions, IQVIA, London, UK., Daniels FA; Real-World & Analytical Solutions, IQVIA, London, UK., Rigg J; Real-World & Analytical Solutions, IQVIA, London, UK., Schmitt C; GSK, Middlesex, UK., Samyshkin Y; GSK, Middlesex, UK., Lawrie A; Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK.; INSIGNEO, University of Sheffield, Sheffield, UK., Bergemann R; Evalueserve UK Ltd, London, UK. |
| Source: | Pulmonary circulation [Pulm Circ] 2019 Nov 20; Vol. 9 (4), pp. 2045894019890549. Date of Electronic Publication: 2019 Nov 20 (Print Publication: 2019). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Wiley Country of Publication: United States NLM ID: 101557243 Publication Model: eCollection Cited Medium: Print ISSN: 2045-8932 (Print) Linking ISSN: 20458932 NLM ISO Abbreviation: Pulm Circ Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 31798836 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Utilising artificial intelligence to determine patients at risk of a rare disease: idiopathic pulmonary arterial hypertension. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kiely+DG%22">Kiely DG</searchLink>; Sheffield Pulmonary Vascular Disease Unit, Royal Hallamshire Hospital, Sheffield, UK.; Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK.; INSIGNEO, University of Sheffield, Sheffield, UK.<br /><searchLink fieldCode="AU" term="%22Doyle+O%22">Doyle O</searchLink>; Real-World & Analytical Solutions, IQVIA, London, UK.<br /><searchLink fieldCode="AU" term="%22Drage+E%22">Drage E</searchLink>; Real-World & Analytical Solutions, IQVIA, London, UK.<br /><searchLink fieldCode="AU" term="%22Jenner+H%22">Jenner H</searchLink>; Real-World & Analytical Solutions, IQVIA, London, UK.<br /><searchLink fieldCode="AU" term="%22Salvatelli+V%22">Salvatelli V</searchLink>; Real-World & Analytical Solutions, IQVIA, London, UK.<br /><searchLink fieldCode="AU" term="%22Daniels+FA%22">Daniels FA</searchLink>; Real-World & Analytical Solutions, IQVIA, London, UK.<br /><searchLink fieldCode="AU" term="%22Rigg+J%22">Rigg J</searchLink>; Real-World & Analytical Solutions, IQVIA, London, UK.<br /><searchLink fieldCode="AU" term="%22Schmitt+C%22">Schmitt C</searchLink>; GSK, Middlesex, UK.<br /><searchLink fieldCode="AU" term="%22Samyshkin+Y%22">Samyshkin Y</searchLink>; GSK, Middlesex, UK.<br /><searchLink fieldCode="AU" term="%22Lawrie+A%22">Lawrie A</searchLink>; Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, UK.; INSIGNEO, University of Sheffield, Sheffield, UK.<br /><searchLink fieldCode="AU" term="%22Bergemann+R%22">Bergemann R</searchLink>; Evalueserve UK Ltd, London, UK. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101557243%22">Pulmonary circulation</searchLink> [Pulm Circ] 2019 Nov 20; Vol. 9 (4), pp. 2045894019890549. <i>Date of Electronic Publication: </i>2019 Nov 20 (<i>Print Publication: </i>2019). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley%22">Wiley </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101557243 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2045-8932 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220458932%22">20458932 </searchLink><i>NLM ISO Abbreviation: </i>Pulm Circ <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=31798836 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/2045894019890549 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 2045894019890549 Titles: – TitleFull: Utilising artificial intelligence to determine patients at risk of a rare disease: idiopathic pulmonary arterial hypertension. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kiely DG – PersonEntity: Name: NameFull: Doyle O – PersonEntity: Name: NameFull: Drage E – PersonEntity: Name: NameFull: Jenner H – PersonEntity: Name: NameFull: Salvatelli V – PersonEntity: Name: NameFull: Daniels FA – PersonEntity: Name: NameFull: Rigg J – PersonEntity: Name: NameFull: Schmitt C – PersonEntity: Name: NameFull: Samyshkin Y – PersonEntity: Name: NameFull: Lawrie A – PersonEntity: Name: NameFull: Bergemann R IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 11 Text: 2019 Nov 20 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 2045-8932 Numbering: – Type: volume Value: 9 – Type: issue Value: 4 Titles: – TitleFull: Pulmonary circulation Type: main |
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