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 ‹ Pulmonary scar carcinoma screening ›

Adenocarcinoma in situ of the lung – Diagnosis

Lung cancer – Prevention | Screening

Adenocarcinoma in situ of the lung – Epidemiology

Fetal adenocarcinoma – Prognosis and survival

Pulmonary neuroendocrine tumor – Genetics

Pulmonary neuroendocrine tumor – Diagnosis

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Lung cancer – Diagnosis

Epithelial-myoepithelial carcinoma of the lung – Staging

Mucinous cystadenocarcinoma of the lung – Prognosis and Survival

Adenocarcinoma of the lung – Histopathology

Giant-cell carcinoma of the lung – Prognosis

Non-small-cell lung carcinoma – Staging

Giant-cell carcinoma of the lung – Treatment

Fetal adenocarcinoma – Treatment

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

Adenocarcinoma of the lung – Management

Mucinous cystadenocarcinoma of the lung – Treatment

Pulmonary fibrosis – Diagnosis

Asbestos-related diseases – Malignant asbestos-related diseases | Asbestos-related lung cancer

Radial scar – Management

Respiratory disease – Diagnosis

Combined small-cell lung carcinoma – Prognosis and survival

Respiratory disease – Epidemiology

Squamous-cell carcinoma of the lung – RNA expression profiles