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 ‹ Craniopharyngioma, papillary risk

Craniopharyngioma – Causes and Prevention

Endolymphatic sac tumor – Epidemiology

Warthin's tumor – Cause

Craniopharyngioma – Prognosis

Warthin's tumor – Abstract

Endolymphatic sac tumor – Abstract

Metanephric adenoma – Abstract

Papillary tumors of the pineal region – Epidemiology

Ameloblastoma – Epidemiology

Papillary tumor – Abstract

Papillary adenocarcinoma – Abstract

Metanephric adenoma – Pathology | Cytogenetic characteristics

Ameloblastoma – Treatment | Molecular biology

Clear-cell ovarian carcinoma – Abstract

Mucinous tubular and spindle cell carcinoma – Abstract

Papillary tumors of the pineal region – Current research

Hemangioendothelioma – Abstract

Clear-cell ovarian carcinoma – Prognosis

Clear cell papillary renal cell carcinoma – Abstract

Intraductal papillary mucinous neoplasm – Abstract

Papillary urothelial neoplasm of low malignant potential – Abstract

Littoral cell angioma – Abstract

Hemangioendothelioma – Treatment

Papillary hidradenoma – Abstract

Villoglandular adenocarcinoma of the cervix – Abstract