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 atony risk

Uterine atony – Risk factors

Uterine rupture – Risk factors

Uterine rupture – Treatment

Couvelaire uterus – Prevention

Cervical pregnancy – Management

Interstitial pregnancy – Frequency

Asherman's syndrome – Epidemiology

Placenta accreta – Risk factors

Couvelaire uterus – Prognosis

Interstitial pregnancy – Subsequent pregnancies

Asherman's syndrome – Prognosis

Placenta accreta – Epidemiology

Vaginal bleeding – Differential diagnosis | Pregnant women

Uterine atony – Abstract

Uterus didelphys – Epidemiology

Placental abruption – Prevention

Vaginal bleeding – Differential diagnosis | Postmenopausal women

Cervical pregnancy – Incidence

Placental abruption – Prognosis

Uterine fibroid – Risk factors | Diet

Uterus didelphys – Multiple pregnancy

Postpartum bleeding – Epidemiology

Retained placenta – In humans

Uterine inversion – Causes

Arcuate uterus – Epidemiology