Clinical narratives such as progress summaries, lab reports, surgical reports, and other
narrative texts contain key biomarkers about a patient's health. Evidence‐based preventive …

Venous thromboembolism (VTE) is the third most common cardiovascular disorder. It affects
people of both genders at ages as young as 20 years. The increased number of VTE cases …

Background Padua linear model is widely used for the risk assessment of venous
thromboembolism (VTE), a common but preventable complication for inpatients. However …

Venous thromboembolism (VTE) is a leading cause of preventable in-hospital mortality.
Monitoring VTE cases is limited by the challenges of manual medical record review and …

Venous thromboembolism (VTE) is a fatal disease and has become a burden on the global
health system. Recent studies have suggested that artificial intelligence (AI) could be used …

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

BACKGROUND: Venous thromboembolism (VTE) is a major cause of morbidity and
mortality worldwide. Current risk assessment tools, such as the Caprini and Padua scores …

Background Accurate diagnostic and prognostic predictions of venous thromboembolism
(VTE) are crucial for VTE management. Artificial intelligence (AI) enables autonomous …

Background Venous thromboembolism (VTE) is characterized by high morbidity, mortality,
and complex treatment. A VTE knowledge graph (VTEKG) can effectively integrate VTE …

Background It remains unknown whether capturing data from electronic health records
(EHRs) using natural language processing (NLP) can improve venous thromboembolism …