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 ‹ Familial gastric type 1 neuroendocrine tumor screening

Li–Fraumeni syndrome – Management

Li–Fraumeni syndrome – Management | Chompret criteria

Hereditary nonpolyposis colorectal cancer – Prevention | Screening | Amsterdam criteria

Familial adenomatous polyposis – Clinical management

Hereditary nonpolyposis colorectal cancer – Prevention | Screening

Familial adenomatous polyposis – Clinical management | Family history

Neuroendocrine adenoma middle ear – Diagnosis

Ceruminous adenocarcinoma – Differential diagnoses

Multiple endocrine neoplasia – Multiple Endocrine Neoplasia Type 1 (MEN1) | Recommended cancer surveillance

Glomus tumor – Treatment

Gastrointestinal stromal tumor – Diagnosis | Imaging

Ceruminous adenoma – Prognosis

Fundic gland polyposis – Cancer risk and the need for screening

Neuroendocrine adenoma middle ear – Management

Gastrointestinal stromal tumor – Diagnosis

Neuroblastoma – Screening

Pulmonary neuroendocrine tumor – Diagnosis

Ceruminous adenoma – Epidemiology

Pulmonary neuroendocrine tumor – Predisposition

Ceruminous adenocarcinoma – Management

Urachal cancer – Diagnosis

Gangliocytic paraganglioma – Symptoms

Neuroendocrine tumor – Diagnosis | Imaging

Gangliocytic paraganglioma – Abstract

Paraganglioma – Treatment