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 ‹ EBJ-I risk

Bare lymphocyte syndrome – Abstract

Dentinogenesis imperfecta – Management of DI associated with OI

Dentinogenesis imperfecta – Abstract

Bare lymphocyte syndrome – Presentation

Hurler syndrome – Prognosis

Opitz G/BBB syndrome – Cause and Prevention

Thiel–Behnke dystrophy – Abstract

Thiel–Behnke dystrophy – Genetics

Autosomal dominant porencephaly type I – Epidemiology

Hereditary sensory and autonomic neuropathy type I – Epidemiology

Nodular sclerosis – Abstract

Hereditary sensory and autonomic neuropathy type I – Prognosis

Congenital disorder of glycosylation – Abstract

Osteogenesis imperfecta – Teeth

Hurler syndrome – Prevalence

Trench foot – Causes

Trench foot – Prevention

Congenital dyserythropoietic anemia type I – Diagnosis

Congenital disorder of glycosylation – Treatment

Nondisjunction – Lifestyle/environmental hazards

Congenital dyserythropoietic anemia type I – Genetics

Autosomal dominant porencephaly type I – Treatment

Crigler–Najjar syndrome – Research

Osteogenesis imperfecta – Abstract

Hyperprolinemia – Research