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 ‹ BC - Bronchogenic carcinoma screening ›

Pulmonary neuroendocrine tumor – Genetics

Pulmonary neuroendocrine tumor – Diagnosis

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Giant-cell carcinoma of the lung – Treatment

Giant-cell carcinoma of the lung – Prognosis

Epithelial-myoepithelial carcinoma of the lung – Staging

Small-cell carcinoma – Prognosis

Small-cell carcinoma – Epidemiology

Large-cell lung carcinoma – Incidence

Large-cell lung carcinoma – Diagnosis

Adenosquamous lung carcinoma – Classification

Tonsil carcinoma – Diagnosis | Staging | T Staging

Tonsil carcinoma – Diagnosis | Staging

Carcinoma – Diagnosis | Staging

Squamous-cell carcinoma of the lung – RNA expression profiles

Nasopharynx cancer – Diagnosis | Staging

Carcinoma – Diagnosis

Acinic cell carcinoma – Treatment

Large-cell lung carcinoma with rhabdoid phenotype – Epidemiology

Acinic cell carcinoma – Prognosis

Adenosquamous lung carcinoma – Abstract

Merkel-cell carcinoma – Diagnosis

Squamous-cell carcinoma of the lung – Description

Large-cell lung carcinoma with rhabdoid phenotype – Prognosis

Transitional cell carcinoma – Diagnosis | Classification