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

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Publication Details

Journal
Thrombosis and Haemostasis
Published
2024-11-29
DOI
https://doi.org/10.1055/a-2460-2894
Citations
2
Primary Topic
Atrial Fibrillation Management and Outcomes
Type
article
Field-Weighted Citation Impact
0.80
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article

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

Anil M. Tuladhar, Éric Jouvent, Sandra Ortega‐Martorell, E van Kempen
2 citations
Thrombosis and Haemostasis
Atrial Fibrillation Management and Outcomes
0.80
article

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

Anil M. Tuladhar, Éric Jouvent, Sandra Ortega‐Martorell, E van Kempen
article en
2 citations

Abstract

No abstract available for this paper.
Thrombosis and HaemostasisVol. 125(05)
Radboud University Nijmegen (NL), University of Liverpool (GB), Université Paris Cité (FR), Radboud University Medical Center (NL), Liverpool Heart and Chest Hospital (GB), Assistance Publique – Hôpitaux de Paris (FR), Hôpital Lariboisière (FR), Liverpool John Moores University (GB)
Zero hunger
Openalex Percentile: Top 22%
Atrial Fibrillation Management and Outcomes
0.80
DOIOpen Access PDFOpenAlex
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