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 neoplasm screening ›

Fetal adenocarcinoma – Prognosis and survival

Giant-cell carcinoma of the lung – Treatment

Mucinous cystadenocarcinoma of the lung – Prognosis and Survival

Non-small-cell lung carcinoma – Staging

Giant-cell carcinoma of the lung – Prognosis

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

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Fetal adenocarcinoma – Treatment

Epithelial-myoepithelial carcinoma of the lung – Staging

Small-cell carcinoma – Prognosis

Mucinous cystadenocarcinoma of the lung – Treatment

Small-cell carcinoma – Epidemiology

Combined small-cell lung carcinoma – Prognosis and survival

Combined small-cell lung carcinoma – Staging

Large-cell lung carcinoma – Incidence

Squamous-cell thyroid carcinoma – Diagnosis | Markers

Squamous-cell thyroid carcinoma – Diagnosis | FNAC

Large-cell lung carcinoma – Diagnosis

Large-cell lung carcinoma with rhabdoid phenotype – Epidemiology

Large-cell lung carcinoma with rhabdoid phenotype – Prognosis

Carcinoma – Epidemiology

Acinic cell carcinoma of the lung – Abstract

Intraductal papillary mucinous neoplasm – Diagnosis

Carcinoma – Diagnosis | Staging

Pancreatic serous cystadenoma – Diagnosis