Machine Learning to Predict Outcomes in Patients with Acute Pulmonary Embolism Who Prematurely Discontinued Anticoagulant Therapy.

Damián MoraJosé A NietoJorge MateoBehnood BikdeliAlexandru GrigoreanJavier Trujillo-SantosSilvia SolerLlorenç FontMarijan BosevskiManuel Monrealnull null

Published in: Thrombosis and haemostasis (2021)

The ML-NN method very well predicted the composite outcome after premature discontinuation of anticoagulation and outperformed traditional logistic regression.

Keyphrases

pulmonary embolism
machine learning
atrial fibrillation
venous thromboembolism
inferior vena cava
artificial intelligence
big data
stem cells
metabolic syndrome
adipose tissue
weight loss
smoking cessation
glycemic control