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 ‹ Overwhelming post-splenectomy infection risk

Overwhelming post-splenectomy infection – Abstract

Overwhelming post-splenectomy infection – Mechanism

Asplenia – Management

Immune reconstitution inflammatory syndrome – Abstract

Immune reconstitution inflammatory syndrome – In bats recovering from white-nose syndrome

Asplenia – Risks

Waterhouse–Friderichsen syndrome – Causes

Waterhouse–Friderichsen syndrome – Prevention

Pneumococcal infection – Pathogenesis

Pneumococcal infection – Prevention

Autosplenectomy – Diseases that cause autosplenectomy | Pneumococcal septicemia

Neutrophilia – Causes

Autosplenectomy – Consequences

Neutrophilia – Abstract

Onyalai – Cause

Thrombocytopenia – Neonatal thrombocytopenia

Lymphocytosis – Causes

Ehrlichiosis – Epidemiology

Cold autoimmune hemolytic anemia – Causes

Subphrenic abscess – Abstract

Immune thrombocytopenic purpura – Pregnancy

Kennel cough – Complications

Onyalai – Epidemiology

Ehrlichiosis – Treatment

Thrombocytopenia – Treatment | Congenital amegakaryocytic thrombocytopenia