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 ‹ Age-related disease symptoms

Aging-associated diseases – Abstract

Aging-associated diseases – Patterns of differences

Parkinson's disease – Signs and symptoms

Parkinson's disease – Abstract

Flynn–Aird syndrome – Symptoms

Flynn–Aird syndrome – Abstract

Spinal and bulbar muscular atrophy – Signs and symptoms | Homozygous females

Spinal and bulbar muscular atrophy – Signs and symptoms

Marek's disease – Syndromes

IgG4-related disease – Symptoms

GM2 gangliosidoses – Tay-Sachs disease

Pseudo-Hurler polydystrophy – Presentation

Geographic atrophy – Abstract

Marek's disease – Abstract

Floating–Harbor syndrome – Signs and symptoms

IgG4-related disease – Abstract

Floating–Harbor syndrome – Signs and symptoms | Bodily features

Geographic atrophy – Presentation

Pseudo-Hurler polydystrophy – Abstract

GM2 gangliosidoses – Abstract

Balkan endemic nephropathy – Symptoms

Monoclonal gammopathy of undetermined significance – Signs and symptoms

Wissler's syndrome – Signs and symptoms

Langerhans cell histiocytosis – Signs and symptoms

Walker–Warburg syndrome – Characteristics