Dataset: 9.3K articles from Wikipedia (CC BY-SA).
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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 ‹ Childhood ependymoma risk

Astroblastoma – Epidemiology | Gender incidence

Astroblastoma – Epidemiology | Environmental incidence

Pediatric ependymoma – Clinical biology | Long-term consequences of treatment

Pediatric ependymoma – Clinical biology | Relapse

Papillary tumors of the pineal region – Epidemiology

Neuroblastoma – Prognosis | Cytogenetic profiles

Neuroblastoma – Prognosis

Central neurocytoma – Treatment | Outcome and recurrence

Papillary tumors of the pineal region – Current research

Oligodendroglioma – Cause

Childhood rhabdomyosarcoma – Survival rates

Oligodendroglioma – Prognosis and treatment

Ganglioglioma – Treatment

Ependymoma – Ependymoma tumors

Ganglioglioma – Classification

Central neurocytoma – Abstract

Mesoblastic nephroma – Treatment and prognosis

Ependymoma – Abstract

Childhood cancer – Adult survivors

Childhood rhabdomyosarcoma – Types

Childhood cancer – Epidemiology | Risk factors

Mesoblastic nephroma – Diagnosis

Teratoma – Epidemiology

Sacrococcygeal teratoma – Treatment | Management of adult SCTs

Sacrococcygeal teratoma – Complications | Late effects