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 ‹ Jejunal adenocarcinoma risk

Esophageal cancer – Causes | Squamous-cell carcinoma

Gastrointestinal cancer – Upper digestive tract | Stomach cancer

Small intestine cancer – Research

Esophageal cancer – Prevention | Screening

Gastrointestinal cancer – Upper digestive tract | Pancreatic cancer

Small intestine cancer – Risk factors

Pancreatic cancer – Risk factors

Pancreatic cancer – Risk factors | Alcohol

Barrett's esophagus – Prognosis

Urachal cancer – Prognosis

Barrett's esophagus – Epidemiology

Signet ring cell carcinoma – Prognosis by organ | Colorectal

Signet ring cell carcinoma – Prognosis by organ | Bladder

Oesophagogastric junctional adenocarcinoma – Oncogenetics

Oesophagogastric junctional adenocarcinoma – Abstract

Bladder cancer in cats and dogs – Epidemiology

Urachal cancer – Abstract

Adenocarcinoma – Histopathology

Adenocarcinoma – Abstract

Adenocarcinoma of the lung – Abstract

Mucinous cystadenocarcinoma of the lung – Incidence

Pseudomyxoma peritonei – Epidemiology

Fundic gland polyposis – Epidemiology and disease associations

Mucinous cystadenocarcinoma of the lung – Prognosis and Survival

Non-small-cell lung carcinoma – Types | Squamous cell lung carcinoma