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

Ortega-Martorell, S, 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
SWORD Depositor: A Symplectic
Date Deposited: 02 Dec 2024 11:35
Last Modified: 02 Dec 2024 15:38
DOI or ID number: 10.1055/a-2460-2894
URI: https://researchonline.ljmu.ac.uk/id/eprint/24955
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