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 Endometrial Neoplasm risk

Endometrial intraepithelial neoplasia – Clinical aspects

Uterine sarcoma – Epidemiology

Endometrial intraepithelial neoplasia – History

Endometrial cancer – Risk factors | Other health problems

Endometrial cancer – Risk factors | Protective factors

Ceruminous adenocarcinoma – Epidemiology

Cervical polyp – Prognosis

Cervical polyp – Risk factors and epidemiology

Atypical polypoid adenomyoma – Abstract

Ceruminous adenocarcinoma – Abstract

Endometrial polyp – Prognosis

Mixed Müllerian tumor – Abstract

Surface epithelial-stromal tumor – Effect on fertility

Uterine serous carcinoma – Treatment | Trastuzumab

Endometrial polyp – Epidemiology

Urogenital neoplasm – Abstract

Surface epithelial-stromal tumor – Abstract

Clear-cell ovarian carcinoma – Abstract

Clear-cell ovarian carcinoma – Prognosis

Uterine serous carcinoma – Abstract

Atypical polypoid adenomyoma – Pathology

Thecoma – Abstract

Hibernoma – Epidemiology

Sebaceous lymphadenoma – Diagnosis

Endometrial stromal sarcoma – Abstract