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 risk

Neuroendocrine adenoma middle ear – Epidemiology

Li–Fraumeni syndrome – Epidemiology

Gangliocytic paraganglioma – Abstract

Gangliocytic paraganglioma – Symptoms

Carney's triad – Abstract

Hereditary nonpolyposis colorectal cancer – Epidemiology

Familial adenomatous polyposis – Epidemiology

Li–Fraumeni syndrome – Management | Chompret criteria

Multiple endocrine neoplasia – Multiple Endocrine Neoplasia Type 1 (MEN1) | Manifestations

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

Fundic gland polyposis – Epidemiology and disease associations

Ceruminous adenocarcinoma – Epidemiology

Strumal carcinoid – Abstract

Ceruminous adenoma – Epidemiology

Fundic gland polyposis – Cancer risk and the need for screening

Large-cell lung carcinoma with rhabdoid phenotype – Epidemiology

Glomus tumor – Treatment

Glomus tumor – Mortality/Morbidity

Goblet cell carcinoid – Abstract

Carney's triad – Background

Paraganglioma – Classification

Multiple endocrine neoplasia type 1 – Abstract

Cancer syndrome – Background

Gastrointestinal stromal tumor – Epidemiology

Ceruminous adenoma – Prognosis