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 ‹ Mucinous lung adenocarcinoma screening

Lung cancer – Prevention | Screening

Adenocarcinoma in situ of the lung – Diagnosis

Adenocarcinoma in situ of the lung – Tumorigenesis

Lung cancer – Prevention

Non-small-cell lung carcinoma – Staging

Fetal adenocarcinoma – Prognosis and survival

Pulmonary neuroendocrine tumor – Genetics

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

Adenocarcinoma of the lung – Histopathology

Pulmonary neuroendocrine tumor – Diagnosis

Giant-cell carcinoma of the lung – Treatment

Giant-cell carcinoma of the lung – Prognosis

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Mucinous cystadenocarcinoma of the lung – Prognosis and Survival

Small-cell carcinoma – Prognosis

Adenocarcinoma of the lung – Management

Epithelial-myoepithelial carcinoma of the lung – Staging

Small-cell carcinoma – Epidemiology

Mucinous cystadenocarcinoma of the lung – Treatment

Fetal adenocarcinoma – Treatment

Combined small-cell lung carcinoma – Staging

Combined small-cell lung carcinoma – Incidence

Large-cell lung carcinoma – Incidence

Large-cell lung carcinoma – Diagnosis

Urachal cancer – Diagnosis