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 ‹ Ureteral neoplasm risk

Ureteral cancer – Risk factors

Ureteral cancer – Epidemiology

Urogenital neoplasm – Abstract

Ureteral neoplasm – Abstract

Fallopian tube cancer – Frequency

Fallopian tube cancer – Prognosis

Intraductal papillary mucinous neoplasm – Classification

Intraductal papillary mucinous neoplasm – Abstract

Cystadenocarcinoma – Abstract

Pancreatic serous cystadenoma – Abstract

Carcinoma in situ – Treatment

Pancreatic serous cystadenoma – Classification

Clear-cell ovarian carcinoma – Abstract

Gonadal tissue neoplasm – Abstract

Carcinoma in situ – Abstract

Clear-cell ovarian carcinoma – Prognosis

Glandular and epithelial neoplasm – Abstract

Odontogenic tumor – Abstract

Duplicated ureter – Prevalence

Hibernoma – Epidemiology

Squamous-cell thyroid carcinoma – Prognosis

Muscle tissue neoplasm – Abstract

Solid pseudopapillary tumour – Abstract

Sebaceous lymphadenoma – Diagnosis

Neoplasm – Abstract