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 ‹ Recurrent lung carcinoma risk

Lung cancer – Causes | Smoking

Lung cancer – Causes | Air pollution

Adenocarcinoma in situ of the lung – Prognosis and survival

Small-cell carcinoma – Epidemiology

Large-cell lung carcinoma – Incidence

Adenocarcinoma in situ of the lung – Recurrence

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

Giant-cell carcinoma of the lung – Epidemiology

Large-cell lung carcinoma – Diagnosis

Small-cell carcinoma – Prognosis

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

Mucinous cystadenocarcinoma of the lung – Prognosis and Survival

Fetal adenocarcinoma – Prognosis and survival

Adenocarcinoma of the lung – Epidemiology

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

Giant-cell carcinoma of the lung – Prognosis

Adenosquamous lung carcinoma – Classification

Combined small-cell lung carcinoma – Incidence

Squamous-cell carcinoma of the lung – Abstract

Epithelial-myoepithelial carcinoma of the lung – Incidence

Adenosquamous lung carcinoma – Abstract

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Mucinous cystadenocarcinoma of the lung – Incidence

Combined small-cell lung carcinoma – Prognosis and survival

Merkel-cell carcinoma – Epidemiology