Dataset: 9.3K articles from Wikipedia (CC BY-SA).
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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 ‹ Lewis lung carcinoma screening

Lung cancer – Prevention | Screening

Lung cancer – Prevention | Other prevention strategies

Adenocarcinoma in situ of the lung – Diagnosis

Non-small-cell lung carcinoma – Staging

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

Adenocarcinoma in situ of the lung – Tumorigenesis

Fetal adenocarcinoma – Prognosis and survival

Giant-cell carcinoma of the lung – Treatment

Small-cell carcinoma – Prognosis

Giant-cell carcinoma of the lung – Prognosis

Pulmonary neuroendocrine tumor – Genetics

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Adenocarcinoma of the lung – Histopathology

Small-cell carcinoma – Epidemiology

Pulmonary neuroendocrine tumor – Diagnosis

Combined small-cell lung carcinoma – Staging

Epithelial-myoepithelial carcinoma of the lung – Staging

Mucinous cystadenocarcinoma of the lung – Prognosis and Survival

Adenocarcinoma of the lung – Management

Combined small-cell lung carcinoma – Incidence

Fetal adenocarcinoma – Treatment

Large-cell lung carcinoma – Incidence

Mucinous cystadenocarcinoma of the lung – Treatment

Large-cell lung carcinoma – Diagnosis

Carcinoma – Epidemiology