Dataset: 9.3K articles from Wikipedia (CC BY-SA).
More datasets: Wikipedia | CORD-19

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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 ‹ Benign Cervical Neoplasm risk

Uterine sarcoma – Epidemiology

Endometrial intraepithelial neoplasia – Clinical aspects

Cervical polyp – Prognosis

Cervical polyp – Risk factors and epidemiology

Endometrial intraepithelial neoplasia – History

Urogenital neoplasm – Abstract

Uterine sarcoma – Abstract

Vaginal adenosis – Causes

Mixed Müllerian tumor – Abstract

Vaginal adenosis – Abstract

Placental site nodule – Abstract

Carcinoma in situ – Treatment

Ceruminous adenocarcinoma – Epidemiology

Mixed Müllerian tumor – Naming and classification

Gonadoblastoma – Abstract

Placental site nodule – Prognosis

Gonadoblastoma – Associations

Carcinoma in situ – Abstract

Tunnel cluster – Abstract

Intraductal papillary mucinous neoplasm – Classification

Hibernoma – Epidemiology

Intraductal papillary mucinous neoplasm – Abstract

Ceruminous adenocarcinoma – Abstract

Placental site trophoblastic tumor – Abstract

Breast disease – Neoplasms | Malignant neoplasms (breast cancer)