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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

NR Hill

L Groves

C Dickerson

A Ochs

M Hurst

KG Pollock

D Sugrue

C Tsang

C Arden

DW Davies

AC Martin

B Sandler

J Gordon

U Farooqui

D Clifton

J Rogers

JA Camm

A Cohen



Citation

Hill, N., Groves, L., Dickerson, C., Ochs, A., Lawton, S., Hurst, M., Pollock, K., Sugrue, D., Tsang, C., Arden, C., Davies, D., Martin, A., Sandler, B., Gordon, J., Farooqui, U., Clifton, D., Mallen, C., Rogers, J., Camm, J., & 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
Electronic ISSN 1524-4733
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.