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 ‹ Simple endometrial hyperplasia risk

Endometrial cancer – Risk factors | Other health problems

Endometrial cancer – Risk factors | Protective factors

Uterine sarcoma – Epidemiology

Endometrial intraepithelial neoplasia – Clinical aspects

Endometrial polyp – Epidemiology

Endometrial polyp – Prognosis

Endometrial intraepithelial neoplasia – History

Uterine cancer – Epidemiology

Endometrial hyperplasia – Abstract

Uterine cancer – Causes

Uterine serous carcinoma – Treatment | Trastuzumab

Uterine serous carcinoma – Abstract

Uterine sarcoma – Abstract

Cervical polyp – Prognosis

Cervical polyp – Risk factors and epidemiology

Uterine clear-cell carcinoma – Abstract

Uterine clear-cell carcinoma – Diagnosis

Mixed Müllerian tumor – Abstract

Endometrial hyperplasia – Classification

Endometrial stromal sarcoma – Abstract

Endometrial stromal tumour – Abstract

Mixed Müllerian tumor – Naming and classification

Thecoma – Abstract

Mesothelial hyperplasia – Abstract

Endometrial stromal sarcoma – Low-grade endometrial stromal sarcoma