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 ‹ Cervical adenoma malignum risk

Ceruminous adenocarcinoma – Epidemiology

Colorectal polyp – Prevention

Endolymphatic sac tumor – Epidemiology

Ceruminous adenocarcinoma – Abstract

Ceruminous adenoma – Epidemiology

Sessile serrated adenoma – Treatment

Neuroendocrine adenoma middle ear – Epidemiology

Sessile serrated adenoma – Abstract

Epithelial-myoepithelial carcinoma – Prognosis

Nipple adenoma – Epidemiology

Cervical polyp – Prognosis

Glandular and epithelial neoplasm – Abstract

Colorectal polyp – Diagnosis

Tubulovillous adenoma – Abstract

Polymorphous low-grade adenocarcinoma – Treatment

Ceruminous adenoma – Prognosis

Endolymphatic sac tumor – Abstract

Polymorphous low-grade adenocarcinoma – Abstract

Myoepithelioma of the head and neck – Treatment

Epithelial-myoepithelial carcinoma – Abstract

Carcinoma ex pleomorphic adenoma – Abstract

Cystadenoma – Classification

Nipple adenoma – Definition

Metanephric adenoma – Abstract

Cystadenoma – Abstract