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

Logo Beuth University of Applied Sciences Berlin

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

Imprint / Contact

Results for Query ‹ Uterine prolapse risk

Cystocele – Cause | Risk factors

Asherman's syndrome – Epidemiology

Pelvic organ prolapse – Epidemiology

Cystocele – Epidemiology

Asherman's syndrome – Prognosis

Rectocele – Causes

Uterine rupture – Risk factors

Arcuate uterus – Epidemiology

Uterus didelphys – Epidemiology

Uterine rupture – Treatment

Uterine prolapse – Pathophysiology and causes

Rectocele – Treatment | Non-surgical

Uterus didelphys – Multiple pregnancy

Uterine septum – Epidemiology

Uterine prolapse – Treatment

Arcuate uterus – Signs and symptoms

Interstitial pregnancy – Frequency

Pelvic floor dysfunction – Causes

Cervical pregnancy – Management

Pelvic organ prolapse – Abstract

Unicornuate uterus – Signs and symptoms

Interstitial pregnancy – Subsequent pregnancies

Hemorrhoid – Epidemiology

Uterine fibroid – Risk factors | Diet

Unicornuate uterus – Cause