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 ‹ Adenocarcinoma of appendix risk

Gastrointestinal cancer – Upper digestive tract | Stomach cancer

Pancreatic cancer – Risk factors

Urachal cancer – Prognosis

Esophageal cancer – Causes | Squamous-cell carcinoma

Pancreatic cancer – Risk factors | Alcohol

Gastrointestinal cancer – Upper digestive tract | Pancreatic cancer

Esophageal cancer – Prevention | Screening

Signet ring cell carcinoma – Prognosis by organ | Colorectal

Signet ring cell carcinoma – Prognosis by organ | Bladder

Appendix cancer – Treatment

Appendix cancer – Abstract

Ovarian mucinous tumor – Prognosis

Urachal cancer – Abstract

Krukenberg tumor – Cause and incidence

Adenocarcinoma – Abstract

Oesophagogastric junctional adenocarcinoma – Abstract

Adenocarcinoma – Histopathology

Pseudomyxoma peritonei – Epidemiology

Oesophagogastric junctional adenocarcinoma – Oncogenetics

Vaginal cancer – Types

Clear-cell adenocarcinoma – Abstract

Mucinous cystadenocarcinoma of the lung – Incidence

Endometrial intraepithelial neoplasia – Clinical aspects

Mucinous cystadenocarcinoma of the lung – Prognosis and Survival

Pseudomyxoma peritonei – Abstract