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 ‹ Carcinoma of goblet cell risk

Carcinoma – Epidemiology

Large-cell lung carcinoma – Incidence

Large-cell lung carcinoma with rhabdoid phenotype – Epidemiology

Giant-cell carcinoma of the lung – Prognosis

Epithelial-myoepithelial carcinoma of the lung – Incidence

Goblet cell carcinoid – Abstract

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Giant-cell carcinoma of the lung – Epidemiology

Acinic cell carcinoma – Epidemiology

Large-cell lung carcinoma with rhabdoid phenotype – Prognosis

Goblet cell carcinoid – Prognosis

Merkel-cell carcinoma – Epidemiology

Small-cell carcinoma – Epidemiology

Combined small-cell lung carcinoma – Incidence

Acinic cell carcinoma – Prognosis

Large-cell lung carcinoma – Diagnosis

Verrucous carcinoma – Cause

Signet ring cell carcinoma – Prognosis by organ | Colorectal

Hyalinizing clear cell carcinoma – Abstract

Hürthle cell – Abstract

Signet ring cell carcinoma – Prognosis by organ | Bladder

Clear cell carcinoma – Abstract

Combined small-cell lung carcinoma – Prognosis and survival

Mucinous tubular and spindle cell carcinoma – Abstract

Fetal adenocarcinoma – Prognosis and survival