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 ‹ Apocrine Neoplasm risk

Papillary eccrine adenoma – Abstract

Apocrine nevus – Abstract

Poroma – Abstract

Folliculosebaceous-apocrine hamartoma – Abstract

Apocrine gland carcinoma – Abstract

Syringocystadenoma papilliferum – Abstract

Acrospiroma – Abstract

Hibernoma – Epidemiology

Proliferating trichilemmal cyst – Abstract

Nevus – Management | Surgery

Ceruminous adenoma – Epidemiology

Nevus – Classification | Vascular nevi

Squamous-cell thyroid carcinoma – Prognosis

Papillary hidradenoma – Abstract

Microvenular hemangioma – Abstract

Superficial acral fibromyxoma – Abstract

Hibernoma – Abstract

Nipple adenoma – Epidemiology

Sebaceous lymphadenoma – Diagnosis

Hidrocystoma – Abstract

Hidradenitis suppurativa – Causes | Triggering factors

Trichilemmoma – Abstract

Trichoepithelioma – Abstract

Schöpf–Schulz–Passarge syndrome – Abstract

Fox–Fordyce disease – Epidemiology