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)

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Results for Query ‹ Uterine adnexa cancer risk

Uterine fibroid – Risk factors | Diet

Endometrial cancer – Risk factors | Hormones

Endometrial cancer – Risk factors | Protective factors

Uterine fibroid – Risk factors

Uterine sarcoma – Epidemiology

Uterine adenosarcoma – Prognosis

Endometrial polyp – Epidemiology

Endometrial polyp – Prognosis

Uterine cancer – Epidemiology

Uterine adenosarcoma – Treatment

Uterine cancer – Causes

Ovarian cyst – Frequency

Adenomyosis – Prognosis | Fertility

Ovarian cyst – Treatment | Surgery

Uterine sarcoma – Abstract

Adenomyosis – Prognosis

Endometrial intraepithelial neoplasia – Clinical aspects

Uterine serous carcinoma – Abstract

Adnexal mass – Abstract

Uterine serous carcinoma – Treatment | Trastuzumab

Neuroendocrine carcinoma of the cervix – Recurrences

Cervical intraepithelial neoplasia – Epidemiology

Uterine clear-cell carcinoma – Abstract

Adnexal mass – Causes

Neuroendocrine carcinoma of the cervix – Risks and causes