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

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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

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Results for Query ‹ Intracranial embolism and thrombosis screening

Thrombosis – Prevention

Arterial embolism – Diagnosis

Cerebral venous sinus thrombosis – Diagnosis | Imaging

Arterial embolism – Prevention

Deep vein thrombosis – Diagnosis | D-dimer

Cerebral venous sinus thrombosis – Diagnosis | D-dimer

Deep vein thrombosis – Diagnosis | Imaging

Venous thrombosis – Prevention

Thrombosis – Treatment

Pulmonary embolism – Prognosis | Predicting mortality

Pulmonary embolism – Diagnosis | Probability testing | Pulmonary embolism rule-out criteria

Thrombophilia – Screening

Venous thrombosis – Treatment | Inferior vena cava filters

Thrombophlebitis – Diagnosis

Fat embolism – Diagnosis

Thrombophlebitis – Prevention

Thrombophilia – Diagnosis

Acute limb ischaemia – Diagnosis

Thrombotic storm – Preliminary diagnostic criteria

Thrombotic storm – Treatment

Cholesterol embolism – Diagnosis | Tissue diagnosis

Limb infarction – Diagnosis

Acute limb ischaemia – Epidemiology

Vertebral artery dissection – Diagnosis

Cholesterol embolism – Diagnosis | Blood and urine