Artificial intelligence for predicting pulmonary embolism: A review of machine learning approaches and performance evaluation
Author:
Publisher
Elsevier BV
Subject
Hematology
Reference10 articles.
1. Acute pulmonary embolism: a review;Freund;JAMA,2022
2. Machine learning in the coagulation and hemostasis arena: an overview and evaluation of methods, review of literature, and future directions;Rashidi;J. Thromb. Haemost.,2023
3. Clinical prediction rules for pulmonary embolism: a systematic review and meta-analysis;Ceriani;J. Thromb. Haemost.,2010
4. Systematic review and meta-analysis of test accuracy for the diagnosis of suspected pulmonary embolism;Patel;Blood Adv.,2020
5. Beyond the d-dimer - machine-learning assisted pre-test probability evaluation in patients with suspected pulmonary embolism and elevated d-dimers;Gawlitza;Thromb. Res.,2021
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