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

Epithelial-myoepithelial carcinoma – Prognosis

Mucoepidermoid carcinoma – Epidemiology

Salivary gland tumour – Treatment

Squamous-cell thyroid carcinoma – Prognosis

Ductal carcinoma – Abstract

Ceruminous adenocarcinoma – Epidemiology

Parathyroid carcinoma – Risk factors

Adenoid cystic carcinoma – Treatment

Adenoid cystic carcinoma – Abstract

Thymic carcinoma – Abstract

Salivary gland tumour – Classification

Acinic cell carcinoma – Epidemiology

Epithelial-myoepithelial carcinoma – Abstract

Hidradenocarcinoma – Abstract

Triple-negative breast cancer – Epidemiology

Acinic cell carcinoma – Abstract

Ceruminous adenoma – Epidemiology

Ceruminous adenocarcinoma – Abstract

Malignant acrospiroma – Abstract

Polymorphous low-grade adenocarcinoma – Treatment

Hürthle cell – Abstract

Epithelial-myoepithelial carcinoma of the lung – Abstract

Epithelial-myoepithelial carcinoma of the lung – Incidence

Squamous-cell thyroid carcinoma – Abstract