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 ‹ Lung superior sulcus carcinoma screening ›

Lung cancer – Prevention | Screening

Adenocarcinoma in situ of the lung – Diagnosis

Adenocarcinoma in situ of the lung – Tumorigenesis

Fetal adenocarcinoma – Prognosis and survival

Pulmonary neuroendocrine tumor – Genetics

Lung cancer – Prevention

Pulmonary neuroendocrine tumor – Diagnosis

Non-small-cell lung carcinoma – Staging

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Adenocarcinoma of the lung – Histopathology

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

Giant-cell carcinoma of the lung – Treatment

Epithelial-myoepithelial carcinoma of the lung – Staging

Giant-cell carcinoma of the lung – Prognosis

Mucinous cystadenocarcinoma of the lung – Prognosis and Survival

Small-cell carcinoma – Prognosis

Adenocarcinoma of the lung – Management

Fetal adenocarcinoma – Treatment

Small-cell carcinoma – Epidemiology

Mucinous cystadenocarcinoma of the lung – Treatment

Large-cell lung carcinoma – Incidence

Combined small-cell lung carcinoma – Staging

Large-cell lung carcinoma – Diagnosis

Combined small-cell lung carcinoma – Prognosis and survival

Adenosquamous lung carcinoma – Classification