Impact of patient selection on performance of an early rule-out pathway for myocardial infarction: from research to the real world

Anda Bularga, Kuan Ken Lee, Shah Anoop S V, Atul Anand, Andrew R Chapman, Chris Tuck, David E Newby, Sarah Jenks, Nicholas L Mills, Dorien Kimenai^*

^*Corresponding author for this work

Research output: Contribution to journal › Letter › peer-review

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Machine learning and the diagnosis of myocardial infarction
Newby, D. & Mills, N.
MRC
1/02/21 → 31/01/23
Project: Research
Research Excellence Award Number 3
Newby, D., Bailey, M., Baker, A., Dweck, M., Mills, N., Morton, N., Pearson, E., Reynolds, R., Semple, R. & Webster, S.
UK-based charities
1/04/19 → 31/03/24
Project: Research
Research Excellence Award Number 3
Baker, A.
UK-based charities
1/04/19 → 31/03/24
Project: Research
HIGH SENSITIVE TROPONIN ASSAY IN THE EVALUATION OF PATIENTS WITH ACUTE CORONARY SYNDROME (HighSTEACS): A RANDOMISED CONTROLLED TRIAL
Mills, N.
UK-based charities
1/10/12 → 30/09/17
Project: Research