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 ‹ Sarcomatoid basal cell carcinoma screening

Merkel-cell carcinoma – Diagnosis

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Merkel-cell carcinoma – Epidemiology

Carcinoma – Epidemiology

Carcinoma – Diagnosis

Epithelial-myoepithelial carcinoma of the lung – Staging

Basal-cell carcinoma – Treatment

Basal-cell carcinoma – Prognosis

Squamous cell skin cancer – Diagnosis

Invasive carcinoma of no special type – Prognosis

Giant-cell carcinoma of the lung – Treatment

Giant-cell carcinoma of the lung – Prognosis

Squamous cell skin cancer – Prognosis

Acinic cell carcinoma – Treatment

Renal cell carcinoma – Prevention

Renal medullary carcinoma – Diagnosis

Combined small-cell lung carcinoma – Staging

Renal cell carcinoma – Diagnosis | Radiology | Magnetic resonance imaging

Acinic cell carcinoma – Prognosis

Large-cell lung carcinoma – Incidence

Invasive carcinoma of no special type – Diagnosis | Clinical staging

Mucinous tubular and spindle cell carcinoma – Pathology | Morphological variants

Combined small-cell lung carcinoma – Incidence

Large-cell lung carcinoma – Diagnosis

Renal medullary carcinoma – Prevention