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 ‹ Secondary malignant neoplasm to the small Intestine risk

Ovarian mucinous tumor – Prognosis

Squamous-cell thyroid carcinoma – Prognosis

Mucinous cystadenocarcinoma of the lung – Prognosis and Survival

Mucinous cystadenocarcinoma of the lung – Incidence

Colorectal polyp – Prevention

Ovarian mucinous tumor – Abstract

Krukenberg tumor – Cause and incidence

Pancreatic serous cystadenoma – Abstract

Clear-cell ovarian carcinoma – Abstract

Glomus tumor – Treatment

Salivary gland tumour – Treatment

Glomus tumor – Mortality/Morbidity

Papillary tumors of the pineal region – Epidemiology

Muir–Torre syndrome – Incidence

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Epithelial-myoepithelial carcinoma of the lung – Incidence

Clear-cell ovarian carcinoma – Prognosis

Pancreatic serous cystadenoma – Classification

Papillary urothelial neoplasm of low malignant potential – Abstract

Cystadenocarcinoma – Abstract

Carcinosarcoma – Abstract

Krukenberg tumor – Abstract

Lipoma – Causes | Other conditions

Giant-cell carcinoma of the lung – Prognosis

Colorectal polyp – Diagnosis