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.
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| 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. |
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| Authors: | Hill, NR1 (AUTHOR), Groves, L2 (AUTHOR), Dickerson, C2 (AUTHOR), Ochs, A2 (AUTHOR), Lawton, S3 (AUTHOR), Hurst, M1 (AUTHOR), Pollock, KG1 (AUTHOR), Sugrue, D2 (AUTHOR), Tsang, C2 (AUTHOR), Arden, C4 (AUTHOR), Davies, DW5 (AUTHOR), Martin, AC6 (AUTHOR), Sandler, B1 (AUTHOR), Gordon, J2 (AUTHOR), Farooqui, U7 (AUTHOR), Clifton, D8 (AUTHOR), Mallen, C3 (AUTHOR), Rogers, J9 (AUTHOR), Camm, JA10 (AUTHOR), Cohen, A11 (AUTHOR) |
| Source: | Value in Health. 2022 Supplement, Vol. 25 Issue 1, pS111-S111. 1p. |
| Database: | Academic Search Ultimate |
| ISSN: | 10983015 |
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| DOI: | 10.1016/j.jval.2021.11.529 |
