The application of machine learning (ML) has shown promising results in precision medicine
due to its exceptional performance in dealing with complex multidimensional data. However …

Rationale: Definitive guidelines for anticoagulation management during veno-venous
extracorporeal membrane oxygenation (VV ECMO) are lacking, whereas bleeding …

Background: Venous thromboembolism (VTE) is a chronic disorder with a significant health
and economic burden. Several VTE-specific Clinical Prediction Models (CPMs) have been …

Objective To describe development and application of a checklist of criteria for selecting an
automated machine learning (Auto ML) platform for use in creating clinical ML models …

Introduction: Anticoagulants have been discovered and developed over past 100 years. At
the beginning unfractionated heparin found its applications, just later to fade into the …

Imagine hospitals where clinicians can quickly and accurately identify patients at risk of
medication harm and why. This is what artificial intelligence (AI) promises, and it's closer …

Background: Anticoagulants are high-risk medications with a narrow therapeutic index used
for thrombotic and embolic disorders. Governments are investing in electronic medical …

Objective: To describe development and application of a checklist of criteria for selecting an
automated machine learning (Auto ML) platform for use in creating clinical ML models …