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 ‹ Lung sarcomatoid carcinoma screening ›

Adenocarcinoma in situ of the lung – Diagnosis

Lung cancer – Prevention | Screening

Fetal adenocarcinoma – Prognosis and survival

Adenocarcinoma in situ of the lung – Tumorigenesis

Pulmonary neuroendocrine tumor – Genetics

Giant-cell carcinoma of the lung – Prognosis

Giant-cell carcinoma of the lung – Treatment

Non-small-cell lung carcinoma – Staging

Pulmonary neuroendocrine tumor – Diagnosis

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

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

Epithelial-myoepithelial carcinoma of the lung – Staging

Mesothelioma – Prevention

Lung cancer – Diagnosis

Adenocarcinoma of the lung – Histopathology

Mucinous cystadenocarcinoma of the lung – Prognosis and Survival

Mesothelioma – Screening

Small-cell carcinoma – Prognosis

Fetal adenocarcinoma – Treatment

Small-cell carcinoma – Epidemiology

Combined small-cell lung carcinoma – Staging

Adenocarcinoma of the lung – Management

Combined small-cell lung carcinoma – Prognosis and survival

Mucinous cystadenocarcinoma of the lung – Treatment

Large-cell lung carcinoma – Incidence