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 ‹ MYOTUBULAR MYOPATHY WITH ABNORMAL GENITAL DEVELOPMENT screening

Aarskog–Scott syndrome – Diagnosis

Genitopatellar syndrome – Diagnosis

CHARGE syndrome – Diagnosis | Genetic testing

Marden–Walker syndrome – Management

Freeman–Sheldon syndrome – Prognosis

Freeman–Sheldon syndrome – Research directions

Aarskog–Scott syndrome – Prognosis

Marden–Walker syndrome – Epidemiology

CHARGE syndrome – Diagnosis | Screening other organ systems

X-linked myotubular myopathy – Abstract

45,X/46,XY mosaicism – Diagnosis

Genitopatellar syndrome – Treatment

Central core disease – Treatment

Central core disease – Diagnosis

Camurati–Engelmann disease – Treatment

XX male syndrome – Diagnosis

Multiple epiphyseal dysplasia – Diagnosis

Mitochondrial trifunctional protein deficiency – Diagnosis

Desmin-related myofibrillar myopathy – Prognosis

Majewski's polydactyly syndrome – Abstract

Mitochondrial disease – Diagnosis

Desmin-related myofibrillar myopathy – Treatment

Centronuclear myopathy – Diagnosis | Electrodiagnostic testing

Mitochondrial trifunctional protein deficiency – Treatment

Camurati–Engelmann disease – Abstract