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 ‹ CHILD nevus risk

CHILD syndrome – Epidemiology | Frequency

CHILD syndrome – Epidemiology | Mortality/morbidity

Naegeli–Franceschetti–Jadassohn syndrome – Abstract

Naegeli–Franceschetti–Jadassohn syndrome – Cause and genetics

Schimmelpenning syndrome – Genetic basis

Beckwith–Wiedemann syndrome – Assisted reproductive technology

Nevus comedonicus syndrome – Abstract

Nevoid basal-cell carcinoma syndrome – Incidence

Beckwith–Wiedemann syndrome – Epidemiology

Cutis marmorata telangiectatica congenita – Epidemiology

Nevus psiloliparus – Abstract

Pigmented hairy epidermal nevus syndrome – Abstract

Schimmelpenning syndrome – Abstract

Cutis marmorata telangiectatica congenita – Prognosis

Halo nevus – Epidemiology

Blue rubber bleb nevus syndrome – Presentation

Michelin tire baby syndrome – Abstract

Epidermal nevus syndrome – Abstract

Becker's nevus – Clinical information

Port-wine stain – Epidemiology

Phakomatosis pigmentokeratotica – Abstract

Blue rubber bleb nevus syndrome – Abstract

Becker's nevus – Malignancy

Nevoid basal-cell carcinoma syndrome – Treatment

Mucinous nevus – Abstract