Dataset: 9.3K articles from Wikipedia (CC BY-SA).
More datasets: Wikipedia | CORD-19

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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 ‹ Rectal Sarcomatoid Cancer risk

Carcinoma – Epidemiology

Epithelial-myoepithelial carcinoma of the lung – Incidence

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Giant-cell carcinoma of the lung – Epidemiology

Giant-cell carcinoma of the lung – Prognosis

Penile cancer – Epidemiology

Large-cell lung carcinoma with rhabdoid phenotype – Epidemiology

Penile cancer – Prognosis

Mucinous tubular and spindle cell carcinoma – Abstract

Spindle cell carcinoma – Abstract

Sarcomatoid carcinoma – Abstract

Adenosquamous lung carcinoma – Classification

Anal cancer – Prevention

Salivary gland–like carcinoma of the lung – Classification

Sarcomatoid carcinoma – Sarcomatoid carcinomas of the lung

Salivary gland–like carcinoma of the lung – Abstract

Adenosquamous lung carcinoma – Abstract

Large-cell lung carcinoma with rhabdoid phenotype – Prognosis

Combined small-cell lung carcinoma – Incidence

Invasive carcinoma of no special type – Abstract

Combined small-cell lung carcinoma – Prognosis and survival

Invasive carcinoma of no special type – Classification

Anal cancer – Epidemiology | US

Carcinoma – Abstract

Cancer of unknown primary origin – Prognosis