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 ‹ Breast epithelioid hemangioma risk

Inflammatory breast cancer – Epidemiology

Angiolymphoid hyperplasia with eosinophilia – Abstract

Microvenular hemangioma – Abstract

Benign fibrous histiocytoma – Abstract

Melanoma with features of a Spitz nevus – Abstract

Spitz nevus – Epidemiology

Paget's disease of the breast – Epidemiology

Hemangioendothelioma – Treatment

Benign fibrous histiocytoma – Presentation

Epithelioid cell – Abstract

Pyogenic granuloma – Abstract

Central giant-cell granuloma – Abstract

Tufted angioma – Abstract

Clear-cell sarcoma – Abstract

Focal nodular hyperplasia – Abstract

Clear-cell sarcoma – Prognosis

Focal nodular hyperplasia – Pathophysiology

Capillary hemangioma – Abstract

Breast cyst – Epidemiology

Capillary hemangioma – Treatment

Inflammatory breast cancer – Role of hormones

Paget's disease of the breast – Prognosis

Gumma (pathology) – Epidemiology

Pyogenic granuloma – Signs and symptoms | Clinical presentation

Central giant-cell granuloma – Treatment