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 ‹ Urologic neoplasm risk

Papillary urothelial neoplasm of low malignant potential – Abstract

Ureteral neoplasm – Abstract

Papillary urothelial neoplasm of low malignant potential – Symptoms

Urogenital neoplasm – Abstract

Atypical small acinar proliferation – Management

Odontogenic tumor – Abstract

Hibernoma – Epidemiology

Pancreatic serous cystadenoma – Abstract

Clear-cell ovarian carcinoma – Abstract

Intraductal papillary mucinous neoplasm – Abstract

Glandular and epithelial neoplasm – Abstract

Squamous-cell thyroid carcinoma – Prognosis

Intraductal papillary mucinous neoplasm – Classification

Carcinoma in situ – Treatment

Carcinoma in situ – Abstract

Clear-cell ovarian carcinoma – Prognosis

Pancreatic serous cystadenoma – Classification

High-grade prostatic intraepithelial neoplasia – Abstract

Pilocytic astrocytoma – Occurrence

Atypical small acinar proliferation – Association with adenocarcinoma

Cystadenocarcinoma – Abstract

Neoplasm – Abstract

Adipose tissue neoplasm – Abstract

High-grade prostatic intraepithelial neoplasia – Pathophysiology | Relation to prostate cancer

Keratocystic odontogenic tumour – Abstract