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 superior sulcus carcinoma risk

Lung cancer – Causes | Smoking

Lung cancer – Causes | Air pollution

Adenocarcinoma in situ of the lung – Prognosis and survival

Adenocarcinoma in situ of the lung – Recurrence

Large-cell lung carcinoma – Incidence

Mucinous cystadenocarcinoma of the lung – Prognosis and Survival

Small-cell carcinoma – Epidemiology

Fetal adenocarcinoma – Prognosis and survival

Giant-cell carcinoma of the lung – Epidemiology

Mucinous cystadenocarcinoma of the lung – Incidence

Non-small-cell lung carcinoma – Types | Squamous cell lung carcinoma

Large-cell lung carcinoma – Diagnosis

Giant-cell carcinoma of the lung – Prognosis

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

Epithelial-myoepithelial carcinoma of the lung – Incidence

Adenocarcinoma of the lung – Epidemiology

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Small-cell carcinoma – Prognosis

Adenosquamous lung carcinoma – Classification

Non-small-cell lung carcinoma – Types | Lung adenocarcinoma

Combined small-cell lung carcinoma – Incidence

Pulmonary neuroendocrine tumor – Genetics

Squamous-cell carcinoma of the lung – Abstract

Combined small-cell lung carcinoma – Prognosis and survival

Adenosquamous lung carcinoma – Abstract