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 ‹ Enamel hypoplasia and hypocalcification with associated strikingly curly hair screening

Tricho–dento–osseous syndrome – Diagnosis | Overlapping diseases

Tricho–dento–osseous syndrome – Diagnosis

Amelogenesis imperfecta – Diagnosis

Molar Incisor Hypomineralisation – Classification

Amelogenesis imperfecta – Treatment

Dentinogenesis imperfecta – Treatment

Dentinogenesis imperfecta – Diagnosis | Types

Attrition (dental) – Prevention and management

Early childhood caries – Prevention | Dental visits

Molar Incisor Hypomineralisation – Treatment and Management | Prevention

Acid erosion – Diagnosis | Diagnosis based on optical properties

Tooth discoloration – Management

Attrition (dental) – Prevention and management | Prevention

Early childhood caries – Prevention | Optimal plaque removal

Dental fluorosis – Diagnosis

Dental fluorosis – Management

Tooth decay – Diagnosis

Enamel hypoplasia – Turner's hypoplasia

Enamel hypoplasia – Causes

Ectodermal dysplasia – Presentation | Other features

Enamel infraction – Treatment

Tooth decay – Prevention | Oral hygiene

Acid erosion – Prevention and management

Mulberry molar – Abstract

Dens invaginatus – Types