The Rise of the Machines: Using Machine Learning to Assess Thrombosis and Bleeding Risks, and Optimizing Anticoagulation Strategies

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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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 of first compliant Open Access:	29 November 2025
Date Deposited:	02 Dec 2024 11:35
Last Modified:	29 Nov 2025 00:50
DOI or ID number:	10.1055/a-2460-2894
URI:	https://researchonline.ljmu.ac.uk/id/eprint/24955

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