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 ‹ Disease of sebaceous gland risk

Hyperplasia – Causes

Hyperplasia – Signs and symptoms

Generalized trichoepithelioma – Abstract

Benign lymphoepithelial lesion – Locations

Blepharophyma – Abstract

Sebaceous hyperplasia – Abstract

Fordyce spots – Epidemiology

Benign lymphoepithelial lesion – Abstract

Hidrocystoma – Abstract

Fordyce spots – Abstract

Adnexal and skin appendage neoplasms – Abstract

Ectopic salivary gland tissue – Abstract

Chronic sclerosing sialadenitis – Existing treatment options

Pituitary disease – Abstract

Sebaceous adenoma – Abstract

Salivary gland pathology – Acquired | Infective

Thyroid disease – Diseases | High function

Endocrine bone disease – Epidemiology

Thyroid disease – Diseases | Medication side effects

Chronic sclerosing sialadenitis – Pathogenesis

Nevus sebaceous – Abstract

Salivary gland pathology – Acquired | Diverticulum

Cushing's syndrome – Epidemiology

Sebaceous adenitis – Diagnosis

Ectopic salivary gland tissue – Accessory salivary glands