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 ‹ Malignant Mediastinal Soft Tissue Neoplasm risk

Squamous-cell thyroid carcinoma – Prognosis

Giant-cell carcinoma of the lung – Prognosis

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Epithelial-myoepithelial carcinoma of the lung – Incidence

Undifferentiated pleomorphic sarcoma – Prognosis

Large-cell lung carcinoma with rhabdoid phenotype – Epidemiology

Soft-tissue sarcoma – Epidemiology

Undifferentiated pleomorphic sarcoma – Epidemiology

Hibernoma – Epidemiology

Embryonal rhabdomyosarcoma – Prognosis and survival

Ameloblastoma – Epidemiology

Mediastinal germ cell tumor – Epidemiology

Soft-tissue sarcoma – Risk factors

Solid pseudopapillary tumour – Abstract

Ceruminous adenocarcinoma – Epidemiology

Embryonal rhabdomyosarcoma – Abstract

Small-cell carcinoma – Epidemiology

Ameloblastoma – Treatment | Recurrence

Carcinoma – Epidemiology

Giant-cell carcinoma of the lung – Epidemiology

Cystadenocarcinoma – Abstract

Mediastinal tumor – Lymphoma

Large-cell lung carcinoma with rhabdoid phenotype – Prognosis

Malignant peripheral nerve sheath tumor – Prognosis

Glomangiosarcoma – Abstract