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 ‹ Cylindrical cell carcinoma risk

Merkel-cell carcinoma – Epidemiology

Carcinoma – Epidemiology

Verrucous carcinoma – Cause

Large-cell lung carcinoma – Incidence

Epithelial-myoepithelial carcinoma of the lung – Incidence

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Giant-cell carcinoma of the lung – Epidemiology

Large-cell lung carcinoma with rhabdoid phenotype – Epidemiology

Giant-cell carcinoma of the lung – Prognosis

Clear cell carcinoma – Abstract

Clear-cell adenocarcinoma – Abstract

Large-cell lung carcinoma – Diagnosis

Basal-cell carcinoma – Epidemiology

Basal-cell carcinoma – Prevention

Renal medullary carcinoma – Epidemiology

Renal cell carcinoma – Cause | Lifestyle

Large-cell lung carcinoma with rhabdoid phenotype – Prognosis

Combined small-cell lung carcinoma – Incidence

Small-cell carcinoma – Epidemiology

Clear cell renal cell carcinoma – Abstract

Clear cell renal cell carcinoma – Genetics | Molecular genetics

Renal medullary carcinoma – Prognosis

Mucinous tubular and spindle cell carcinoma – Abstract

Squamous cell carcinoma – Types

Combined small-cell lung carcinoma – Prognosis and survival