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 ‹ Glomus Tumors, Familial, 2 risk

Hereditary leiomyomatosis and renal cell cancer syndrome – Prognosis

Muir–Torre syndrome – Incidence

Hereditary leiomyomatosis and renal cell cancer syndrome – Signs and symptoms | Associated conditions

Juxtaglomerular cell tumor – Prognosis

Li–Fraumeni syndrome – Epidemiology

Von Hippel–Lindau disease – Epidemiology

Multiple endocrine neoplasia – Multiple Endocrine Neoplasia Type 1 (MEN1) | Manifestations

Multiple endocrine neoplasia – Multiple Endocrine Neoplasia Type 1 (MEN1) | Recommended cancer surveillance

Li–Fraumeni syndrome – Management | Recommendations

Pediatric ependymoma – Clinical biology | Long-term consequences of treatment

Multiple familial trichoepithelioma – Brooke-Spiegler syndrome

Lipoma – Causes | Other conditions

Multiple familial trichoepithelioma – Classification

Fibromatosis – Treatment

Schwannomatosis – Diagnosis | Prenatal

Pediatric ependymoma – Clinical biology | Relapse

Fibromatosis – Abstract

Lipoma – Causes

Schwannomatosis – Cause

Gardner's syndrome – Genetics

Retinoblastoma – Prognosis

Juxtaglomerular cell tumor – Abstract

Mismatch repair cancer syndrome – Abstract

Familial adenomatous polyposis – Epidemiology

Fundic gland polyposis – Epidemiology and disease associations