February 20, 2026 review Accuracy of machine learning models in predicting recurrent venous thromboembolism: a systematic review and meta-analysis Journal of Thrombosis and Thrombolysis DOI: 10.1007/s11239-026-03251-1 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 2 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Executive Summary 2021 CHEST Journal article Medicine Venous Thromboembolism Diagnosis and Management Open access 423 citations External validation of the Leiden Thrombosis Recurrence Risk Prediction models (L-TRRiP) for the prediction of recurrence after a first venous thrombosis in the Heart and Vascular Health study 2024 Research and Practice in Thrombosis and Haemostasis article Medicine Venous Thromboembolism Diagnosis and Management Open access 2 citations 2 results