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 ‹ Breast apocrine adenoma risk

Nipple adenoma – Epidemiology

Fibroadenoma – Epidemiology

Nipple adenoma – Abstract

Hepatocellular adenoma – Epidemiology

Colorectal polyp – Prevention

Epithelial-myoepithelial carcinoma – Prognosis

Fibroadenoma – Abstract

Papillary hidradenoma – Abstract

Triple-negative breast cancer – Epidemiology

Ceruminous adenoma – Epidemiology

Salivary gland tumour – Epidemiology

Syringocystadenoma papilliferum – Abstract

Parathyroid carcinoma – Risk factors

Sebaceous adenoma – Abstract

Papillary eccrine adenoma – Abstract

Muir–Torre syndrome – Incidence

Salivary gland tumour – Abstract

Neuroendocrine adenoma middle ear – Epidemiology

Hepatocellular adenoma – Treatment

Ceruminous adenocarcinoma – Epidemiology

Hidradenoma – Abstract

Apocrine nevus – Abstract

Epithelial-myoepithelial carcinoma – Abstract

Villous adenoma – Abstract

Colorectal polyp – Diagnosis