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 ‹ Chromosomal disease with overgrowth risk

Beckwith–Wiedemann syndrome – Assisted reproductive technology

Beckwith–Wiedemann syndrome – Prognosis

Roberts syndrome – Prevalence

Overgrowth syndrome – Abstract

Miller–Dieker syndrome – Epidemiology

Proteus syndrome – Diagnosis | Classification

Proteus syndrome – Genetics

9q34 deletion syndrome – Epidemiology

Tetrasomy 9p – Prognosis | Recurrence risk

Miller–Dieker syndrome – Prognosis

Macrocephaly-capillary malformation – Prognosis

Campomelic dysplasia – Incidence and prognosis

Roberts syndrome – Diagnosis | Genetically Related Disorders

Simpson–Golabi–Behmel syndrome – Treatment and management

Nevo syndrome – History

9q34 deletion syndrome – Treatment

Nevo syndrome – Diagnosis

Macrocephaly-capillary malformation – Genetics

Perlman syndrome – Epidemiology

Bannayan–Riley–Ruvalcaba syndrome – Abstract

Simpson–Golabi–Behmel syndrome – Abstract

Emanuel syndrome – Abstract

Parkes Weber syndrome – Causes and Prevention

Tetrasomy 9p – Prognosis

Hereditary gingival fibromatosis – Recent research