Dataset: 9.3K articles from Wikipedia (CC BY-SA).
More datasets: Wikipedia | CORD-19

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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 ‹ Apocrine gland carcinoma risk

Mucoepidermoid carcinoma – Prognosis

Mucoepidermoid carcinoma – Epidemiology

Epithelial-myoepithelial carcinoma – Prognosis

Salivary gland tumour – Epidemiology

Salivary gland tumour – Treatment

Parathyroid carcinoma – Risk factors

Squamous-cell thyroid carcinoma – Prognosis

Ductal carcinoma – Abstract

Epithelial-myoepithelial carcinoma – Abstract

Ceruminous adenocarcinoma – Epidemiology

Sebaceous lymphadenoma – Diagnosis

Parathyroid neoplasm – Abstract

Thymic carcinoma – Abstract

Ceruminous adenoma – Epidemiology

Poroma – Abstract

Sebaceous lymphadenoma – Treatment

Hidradenocarcinoma – Abstract

Parathyroid carcinoma – Signs and Symptoms

Nipple adenoma – Epidemiology

Adenoid cystic carcinoma – Abstract

Malignant acrospiroma – Abstract

Adenoid cystic carcinoma – Treatment

Papillary eccrine adenoma – Abstract

Pleomorphic adenoma – Abstract

Syringocystadenoma papilliferum – Abstract