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 screening

Carcinoma – Epidemiology

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Carcinoma – Diagnosis

Epithelial-myoepithelial carcinoma of the lung – Staging

Merkel-cell carcinoma – Diagnosis

Giant-cell carcinoma of the lung – Treatment

Giant-cell carcinoma of the lung – Prognosis

Renal medullary carcinoma – Diagnosis

Renal medullary carcinoma – Prevention

Merkel-cell carcinoma – Epidemiology

Non-small-cell lung carcinoma – Staging

Renal cell carcinoma – Prevention

Non-small-cell lung carcinoma – Staging | Five-year survival rates

Glassy cell carcinoma of the cervix – Diagnosis

Renal cell carcinoma – Diagnosis | Radiology | Magnetic resonance imaging

Mucinous tubular and spindle cell carcinoma – Pathology | Morphological variants

Acinic cell carcinoma – Treatment

Basal-cell carcinoma – Treatment

Combined small-cell lung carcinoma – Staging

Basal-cell carcinoma – Prevention

Large-cell lung carcinoma with rhabdoid phenotype – Epidemiology

Acinic cell carcinoma – Prognosis

Verrucous carcinoma – Cause

Nasopharynx cancer – Diagnosis | Staging

Large-cell lung carcinoma with rhabdoid phenotype – Prognosis