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 ‹ ADENOCARCINOMA, CLEAR CELL, MALIGNANT risk

Carcinoma – Epidemiology

Mucinous cystadenocarcinoma of the lung – Prognosis and Survival

Mucinous cystadenocarcinoma of the lung – Incidence

Epithelial-myoepithelial carcinoma of the lung – Incidence

Large-cell lung carcinoma – Incidence

Adenocarcinoma in situ of the lung – Prognosis and survival

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Adenocarcinoma in situ of the lung – Recurrence

Clear cell carcinoma – Abstract

Giant-cell carcinoma of the lung – Epidemiology

Large-cell lung carcinoma with rhabdoid phenotype – Epidemiology

Clear-cell adenocarcinoma – Abstract

Giant-cell carcinoma of the lung – Prognosis

Combined small-cell lung carcinoma – Incidence

Large-cell lung carcinoma – Diagnosis

Large-cell lung carcinoma with rhabdoid phenotype – Prognosis

Signet ring cell carcinoma – Prognosis by organ | Colorectal

Squamous cell carcinoma – Types

Signet ring cell carcinoma – Prognosis by organ | Bladder

Squamous cell carcinoma – Types | Lung

Combined small-cell lung carcinoma – Significance

Salivary gland–like carcinoma of the lung – Abstract

Fetal adenocarcinoma – Prognosis and survival

Salivary gland–like carcinoma of the lung – Classification

Carcinoma – Abstract