Dataset: 9.3K articles from Wikipedia (CC BY-SA).
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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 ‹ Pachyonychia congenita, autosomal recessive risk

Acheiropodia – Abstract

Adams–Oliver syndrome – Prognosis

Tetra-amelia syndrome – Epidemiology

Hyperlysinemia – Abstract

Freeman–Sheldon syndrome – Epidemiology

Adams–Oliver syndrome – Epidemiology

EEM syndrome – Abstract

Freeman–Sheldon syndrome – Prognosis

Nakajo syndrome – Abstract

Scalp–ear–nipple syndrome – Genetics | Inheritance

Robinow syndrome – Associated conditions

Renal dysplasia-limb defects syndrome – Characteristics

Woodhouse–Sakati syndrome – Abstract

Renal dysplasia-limb defects syndrome – Abstract

Nakajo syndrome – Genetics

Achondrogenesis type 1B – Abstract

Dyskeratosis congenita – Abstract

EEM syndrome – Pathophysiology

Hyperimmunoglobulin E syndrome – Treatment

Acheiropodia – Genetics

Ablepharon macrostomia syndrome – Genetics

Sarcosinemia – Abstract

Tetra-amelia syndrome – Abstract

Mulibrey nanism – Prevalence

Hyperimmunoglobulin E syndrome – Abstract