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Advances from Traditional Clinical Decision Support Tools to Machine Learning Applications in Primary Prevention of Thromboembolic Disorders

Seminars in Thrombosis and Hemostasis

  • Machine learning
  • Clinical decision support systems
  • Machine learning risk prediction models
  • Arterial thromboembolism
  • Stroke
  • Humans

The paper

Oikonomou E, Tsaftaridis N, Spyropoulos AC et al.

Seminars in Thrombosis and Hemostasis · 9 Sep 2026

doi.org/10.1055/a-2946-5165PubMed 42716101

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