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 ‹ Psychogenic dysmenorrhea risk

Dysmenorrhea – Epidemiology

Endometriosis – Risk factors | Environmental toxins

Endometriosis – Risk factors

Dysmenorrhea – Causes

Menstrual disorder – Abstract

Menstrual disorder – Dysmenorrhea

Adenomyosis – Prognosis | Fertility

Adenomyosis – Prognosis

Vaginal bleeding – Differential diagnosis | Postmenopausal women

Vaginal bleeding – Differential diagnosis | Pregnant women

Premenstrual syndrome – Epidemiology

Premenstrual syndrome – Prognosis

Reproductive system disease – Types | Congenital abnormalities

Reproductive system disease – Types | Endocrine

Hematometra – Pathophysiology

Retroverted uterus – Fertility and pregnancy

Sexuality after spinal cord injury – Fertility | Female

Uterus didelphys – Epidemiology

Hematometra – Management

Retroverted uterus – Causes

Pelvic congestion syndrome – Abstract

Sexuality after spinal cord injury – Fertility | Male

Uterus didelphys – Multiple pregnancy

Pelvic congestion syndrome – Signs and symptoms

Endometrial polyp – Epidemiology