Utilising artificial intelligence to determine patients at risk of a rare disease : idiopathic pulmonary arterial hypertension

Kiely, D.G., Doyle, O., Drage, E. et al. (8 more authors) (2019) Utilising artificial intelligence to determine patients at risk of a rare disease : idiopathic pulmonary arterial hypertension. Pulmonary Circulation, 9 (4). ISSN 2045-8932

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 The Authors. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Keywords: predictive algorithm; machine learning; idiopathic pulmonary arterial hypertension (PAH); diagnosis
Dates:
  • Accepted: 20 October 2019
  • Published: 6 November 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Sheffield Teaching Hospitals
Depositing User: Symplectic Sheffield
Date Deposited: 03 Dec 2019 14:20
Last Modified: 03 Dec 2019 14:20
Status: Published
Publisher: SAGE Publications
Refereed: Yes
Identification Number: https://doi.org/10.1177/2045894019890549

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