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Ortega-Martorell, S 
ORCID: 0000-0001-9927-3209, van Kempen, E, Jouvent, E and Tuladhar, AM
(2024)
The Rise of the Machines: Using Machine Learning to Assess Thrombosis and Bleeding Risks, and Optimizing Anticoagulation Strategies.
Thrombosis and Haemostasis.
ISSN 0340-6245
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The rise of the machines using machine learning to assess thrombosis and bleeding risks, and optimising anticoagulation strategies.pdf - Accepted Version Access Restricted until 29 November 2025. Download (270kB) |
Publisher URL: https://doi.org/10.1055/a-2460-2894
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | 1102 Cardiorespiratory Medicine and Haematology; 1103 Clinical Sciences; Cardiovascular System & Hematology |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > R Medicine (General) R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine |
| Divisions: | Computer Science and Mathematics |
| Publisher: | Thieme Gruppe |
| Date of acceptance: | 31 October 2024 |
| Date Deposited: | 02 Dec 2024 11:35 |
| Last Modified: | 03 Jul 2025 17:30 |
| DOI or ID number: | 10.1055/a-2460-2894 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/24955 |
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