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)

Funded by The Federal Ministry for Economic Affairs and Energy; Grant: 01MD19013D, Smart-MD Project, Digital Technologies

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Results for Query ‹ Interstitial Cell Neoplasm risk

Sertoli–Leydig cell tumour – Cause

Squamous-cell thyroid carcinoma – Prognosis

Sertoli–Leydig cell tumour – Abstract

Epithelial-myoepithelial carcinoma of the lung – Incidence

Spermatocytic seminoma – Relation to seminoma

Spermatocytic seminoma – Abstract

Leydig cell tumour – Abstract

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Granulosa cell tumour – Abstract

Gonadal tissue neoplasm – Abstract

Large-cell lung carcinoma – Incidence

Leydig cell tumour – Treatment

Carcinosarcoma – Abstract

Urogenital neoplasm – Abstract

Solid pseudopapillary tumour – Abstract

Mucinous tubular and spindle cell carcinoma – Abstract

Granulosa cell tumour – Clinical presentation

Poorly differentiated thyroid cancer – Abstract

Clear-cell ovarian carcinoma – Abstract

Endodermal sinus tumor – Abstract

Endodermal sinus tumor – Treatment

Large-cell lung carcinoma – Diagnosis

Ceruminous adenocarcinoma – Epidemiology

Metanephric adenoma – Abstract

Mesoblastic nephroma – Treatment and prognosis