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)

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Results for Query ‹ Malignant tumors of the mouse pulmonary system risk

Mucinous cystadenocarcinoma of the lung – Prognosis and Survival

Pulmonary neuroendocrine tumor – Genetics

Adenocarcinoma in situ of the lung – Epidemiology | Incidence

Adenocarcinoma in situ of the lung – Prognosis and survival

Large-cell lung carcinoma with rhabdoid phenotype – Epidemiology

Mucinous cystadenocarcinoma of the lung – Incidence

Giant-cell carcinoma of the lung – Prognosis

Fetal adenocarcinoma – Prognosis and survival

Pulmonary neuroendocrine tumor – Abstract

Combined small-cell lung carcinoma – Prognosis and survival

Giant-cell carcinoma of the lung – Epidemiology

Atypical pulmonary carcinoid tumour – Abstract

Large-cell lung carcinoma with rhabdoid phenotype – Prognosis

Fetal adenocarcinoma – Incidence

Lung tumor – Abstract

Epithelial-myoepithelial carcinoma of the lung – Incidence

Typical pulmonary carcinoid tumour – Abstract

Combined small-cell lung carcinoma – Incidence

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Birt–Hogg–Dubé syndrome – Patient Registry

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

Non-small-cell lung carcinoma – Cause

Ovarian mucinous tumor – Prognosis

Mesothelioma – Cause

Adenocarcinoma of the lung – Molecular biology | Gene mutations