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)

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Results for Query ‹ Granular cell adenocarcinoma risk

Large-cell lung carcinoma – Incidence

Mucinous cystadenocarcinoma of the lung – Prognosis and Survival

Adenocarcinoma in situ of the lung – Prognosis and survival

Mucinous cystadenocarcinoma of the lung – Incidence

Giant-cell carcinoma of the lung – Epidemiology

Clear cell carcinoma – Abstract

Giant-cell carcinoma of the lung – Prognosis

Adenocarcinoma in situ of the lung – Recurrence

Large-cell lung carcinoma – Diagnosis

Combined small-cell lung carcinoma – Incidence

Clear-cell adenocarcinoma – Abstract

Combined small-cell lung carcinoma – Prognosis and survival

Salivary gland–like carcinoma of the lung – Abstract

Fetal adenocarcinoma – Prognosis and survival

Salivary gland–like carcinoma of the lung – Classification

Granular cell tumor – Treatment

Adenosquamous lung carcinoma – Abstract

Adenosquamous lung carcinoma – Classification

Nuclear moulding – Abstract

Fetal adenocarcinoma – Incidence

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

Perivascular epithelioid cell tumour – Abstract

Non-small-cell lung carcinoma – Treatment | EGFR mutations

Bladder cancer in cats and dogs – Epidemiology

Signet ring cell carcinoma – Prognosis by organ | Colorectal