Dataset: 9.3K articles from Wikipedia (CC BY-SA).
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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 ‹ Polymorphous low-grade adenocarcinoma risk

Mucinous cystadenocarcinoma of the lung – Prognosis and Survival

Mucinous cystadenocarcinoma of the lung – Incidence

Carcinoma – Epidemiology

Polymorphous low-grade adenocarcinoma – Treatment

Adenoid cystic carcinoma – Treatment

Adenoid cystic carcinoma – Abstract

Clear-cell adenocarcinoma – Abstract

Atypical ductal hyperplasia – Prognosis | Cancer risk based on follow-up

Polymorphous low-grade adenocarcinoma – Abstract

Salivary gland tumour – Treatment

Atypical small acinar proliferation – Management

Villoglandular adenocarcinoma of the cervix – Abstract

Invasive carcinoma of no special type – Abstract

Endometrial intraepithelial neoplasia – Clinical aspects

Papillary urothelial neoplasm of low malignant potential – Abstract

Cervical intraepithelial neoplasia – Epidemiology

Mastocytoma – Dogs

Papillary urothelial neoplasm of low malignant potential – Treatment

Fetal adenocarcinoma – Prognosis and survival

Invasive carcinoma of no special type – Prognosis

Mammary analogue secretory carcinoma – Abstract

Mastocytoma – Cats

Cervical intraepithelial neoplasia – Prognosis

Oesophagogastric junctional adenocarcinoma – Abstract

Salivary gland tumour – Classification