NR Hill
POSC125 Identification of Undiagnosed Atrial Fibrillation Using a Machine Learning Risk Prediction Algorithm and Diagnostic Testing (PULSE-AI) in Primary Care: Health Economic Impact Assessment of a UK Randomised Controlled Trial
Hill, NR; Groves, L; Dickerson, C; Ochs, A; Lawton, S; Hurst, M; Pollock, KG; Sugrue, D; Tsang, C; Arden, C; Davies, DW; Martin, AC; Sandler, B; Gordon, J; Farooqui, U; Clifton, D; Mallen, C; Rogers, J; Camm, JA; Cohen, A
Authors
L Groves
C Dickerson
A Ochs
Sarah Lawton s.a.lawton@keele.ac.uk
M Hurst
KG Pollock
D Sugrue
C Tsang
C Arden
DW Davies
AC Martin
B Sandler
J Gordon
U Farooqui
D Clifton
Christian Mallen c.d.mallen@keele.ac.uk
J Rogers
JA Camm
A Cohen
Citation
Hill, N., Groves, L., Dickerson, C., Ochs, A., Lawton, S., Hurst, M., …Cohen, A. (2022). POSC125 Identification of Undiagnosed Atrial Fibrillation Using a Machine Learning Risk Prediction Algorithm and Diagnostic Testing (PULSE-AI) in Primary Care: Health Economic Impact Assessment of a UK Randomised Controlled Trial. Value in Health, 25(1), S111. https://doi.org/10.1016/j.jval.2021.11.529
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 1, 2022 |
Publication Date | 2022-01 |
Deposit Date | Jun 16, 2023 |
Journal | Value in Health |
Print ISSN | 1098-3015 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 25 |
Issue | 1 |
Pages | S111 |
DOI | https://doi.org/10.1016/j.jval.2021.11.529 |
Keywords | Public Health, Environmental and Occupational Health; Health Policy |
Public URL | https://keele-repository.worktribe.com/output/469251 |
Additional Information | This article is maintained by: Elsevier; Article Title: POSC125 Identification of Undiagnosed Atrial Fibrillation Using a Machine Learning Risk Prediction Algorithm and Diagnostic Testing (PULSE-AI) in Primary Care: Health Economic Impact Assessment of a UK Randomised Controlled Trial; Journal Title: Value in Health; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.jval.2021.11.529; Content Type: simple-article; Copyright: Copyright © 2021 Published by Elsevier Inc. |
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