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 occult adenocarcinoma screening ›

Lung cancer – Prevention | Screening

Lung cancer – Prevention | Other prevention strategies

Adenocarcinoma in situ of the lung – Diagnosis

Adenocarcinoma in situ of the lung – Tumorigenesis

Pulmonary neuroendocrine tumor – Genetics

Fetal adenocarcinoma – Prognosis and survival

Adenocarcinoma of the lung – Histopathology

Non-small-cell lung carcinoma – Staging

Pulmonary neuroendocrine tumor – Diagnosis

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

Colorectal cancer – Prevention | Screening | Recommendations

Adenocarcinoma of the lung – Management

Small-cell carcinoma – Prognosis

Urachal cancer – Diagnosis

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Colorectal cancer – Prevention | Medication

Mucinous cystadenocarcinoma of the lung – Prognosis and Survival

Epithelial-myoepithelial carcinoma of the lung – Staging

Small-cell carcinoma – Epidemiology

Giant-cell carcinoma of the lung – Prognosis

Fetal adenocarcinoma – Treatment

Giant-cell carcinoma of the lung – Treatment

Diffuse idiopathic pulmonary neuroendocrine cell hyperplasia – Diagnosis

Esophageal cancer – Prevention | Screening

Urachal cancer – Histopathology