Utilising artificial intelligence to determine patients at risk of a rare disease: idiopathic pulmonary arterial hypertension.
Saved in:
| Title: | Utilising artificial intelligence to determine patients at risk of a rare disease: idiopathic pulmonary arterial hypertension. |
|---|---|
| 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 |
Be the first to leave a comment!
