Dataset: 9.3K articles from Wikipedia (CC BY-SA).
More datasets: Wikipedia | CORD-19

Logo Beuth University of Applied Sciences Berlin

Made by DATEXIS (Data Science and Text-based Information Systems) at Beuth University of Applied Sciences Berlin

Deep Learning Technology: Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers and Alexander Löser. Learning Contextualized Document Representations for Healthcare Answer Retrieval. The Web Conference 2020 (WWW'20)

Funded by The Federal Ministry for Economic Affairs and Energy; Grant: 01MD19013D, Smart-MD Project, Digital Technologies

Imprint / Contact

Results for Query ‹ Cerebral venous thrombosis risk

Thrombosis – Causes

Deep vein thrombosis – Prevention | Pregnancy

Cerebral venous sinus thrombosis – Prognosis

Thrombosis – Mechanism | Pathogenesis

Venous thrombosis – Causes | Risk factors | Mixed

Cerebral venous sinus thrombosis – Epidemiology

Venous thrombosis – Prevention

Deep vein thrombosis – Prevention | Travelers

Thrombophilia – Prognosis

Thrombophlebitis – Treatment | Epidemiology

Thrombophilia – Causes | Congenital

Thrombophlebitis – Causes

Superficial thrombophlebitis – Risk factors

Hypercoagulability in pregnancy – Complications

Thrombotic storm – Preliminary diagnostic criteria

Vascular occlusion – Abstract

Superficial thrombophlebitis – Signs and symptoms | Complications

Thrombotic storm – Abstract

Hypercoagulability in pregnancy – Prevention of thrombosis with anticoagulants

Post-thrombotic syndrome – Cause | Risk factors

Superficial vein thrombosis – Abstract

Post-thrombotic syndrome – Upper extremities

Intraparenchymal hemorrhage – Pathophysiology

Fetal thrombotic vasculopathy – Diagnosis

May–Thurner syndrome – Abstract