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 ›

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Epithelial-myoepithelial carcinoma of the lung – Staging

Squamous-cell thyroid carcinoma – Diagnosis | Markers

Squamous-cell thyroid carcinoma – Diagnosis | Radiological examination

Fetal adenocarcinoma – Prognosis and survival

Mucinous cystadenocarcinoma of the lung – Prognosis and Survival

Giant-cell carcinoma of the lung – Treatment

Giant-cell carcinoma of the lung – Prognosis

Non-small-cell lung carcinoma – Staging

Mucinous cystadenocarcinoma of the lung – Treatment

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

Carcinoma – Epidemiology

Carcinoma – Diagnosis | Staging

Small-cell carcinoma – Prognosis

Fetal adenocarcinoma – Treatment

Intraductal papillary mucinous neoplasm – Diagnosis

Small-cell carcinoma – Epidemiology

Combined small-cell lung carcinoma – Staging

Large-cell lung carcinoma – Incidence

Pancreatic serous cystadenoma – Diagnosis

Combined small-cell lung carcinoma – Prognosis and survival

Large-cell lung carcinoma – Diagnosis

Mammary analogue secretory carcinoma – Clinical course and treatment

Large-cell lung carcinoma with rhabdoid phenotype – Epidemiology

Mucinous tubular and spindle cell carcinoma – Pathology | Morphological variants