Machine learning and the diagnosis of myocardial infarction

Newby, David (Principal Investigator)
Mills, Nicholas (Co-investigator)

Deanery of Clinical Sciences

Status	Finished
Effective start/end date	1/02/21 → 31/01/23

Funding

MRC: £128,622.00

9 Article
2 Letter
1 Editorial

Machine learning for myocardial infarction compared to guideline recommended diagnostic pathways
Boeddinghaus, J., Doudesis, D., Lopez-Ayala, P., Lee, K. K., Koechlin, L., Wildi, K., Nestelberger, T., Borer, R., Miró, Ò., Martín-Sánchez, F., Strebel, I., Rubini Gimenez, M., Keller, D. I., Christ, M., Bularga, A., L., Z., Ferry, A., Tuck, C., Anand, A., Gray, A., & 2 othersMills, N. L. & Mueller, C., 12 Feb 2024, In: Circulation.
Research output: Contribution to journal › Article › peer-review

Open Access
File
High-Sensitivity Cardiac Troponin for Risk Assessment in Patients with Chronic Coronary Artery Disease
Wereski, R., Adamson, P. D., Shek Daud, N. S., McDermott, M., Taggart, C., Bularga, A., Kimenai, D., Lowry, M., Tuck, C., Anand, A., Lowe, D. J., Chapman, A. R. & Mills, N. L., 8 Aug 2023, In: Journal of the American College of Cardiology. 82, 6, p. 473-485
Research output: Contribution to journal › Article › peer-review

Open Access
File
Impact of patient selection on performance of an early rule-out pathway for myocardial infarction: from research to the real world
Bularga, A., Lee, K. K., Anoop S V, S., Anand, A., Chapman, A. R., Tuck, C., Newby, D. E., Jenks, S., Mills, N. L. & Kimenai, D., 31 Jan 2023, In: Circulation.
Research output: Contribution to journal › Letter › peer-review

Open Access
File