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 ‹ I-cell disease symptoms

I-cell disease – Presentation

Sialidosis – Presentation

Lysosomal storage disease – Signs and symptoms

Metachromatic leukodystrophy – Signs and symptoms

Pseudo-Hurler polydystrophy – Presentation

I-cell disease – Abstract

Lysosomal storage disease – Abstract

Sialidosis – Pathophysiology

Pseudo-Hurler polydystrophy – Abstract

Metachromatic leukodystrophy – Abstract

Mucolipidosis – Abstract

Mucolipidosis – Diagnosis

Gaucher's disease – Classification

Hyperprolinemia – Diagnosis | Types | Hyperprolinemia type I

Hyperprolinemia – Diagnosis | Types | Hyperprolinemia type II

Hereditary sensory and autonomic neuropathy type I – Signs and symptoms

Hereditary sensory and autonomic neuropathy type I – Abstract

3-Methylglutaconic aciduria – Abstract

Bare lymphocyte syndrome – Presentation

Bare lymphocyte syndrome – Abstract

Gaucher's disease – Abstract

3-Methylglutaconic aciduria – Classification

Crigler–Najjar syndrome – Diagnosis | Type II

Crigler–Najjar syndrome – Diagnosis | Differential diagnosis

Leukocyte adhesion deficiency – Characteristics