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 ‹ Urge incontinence screening

Urinary incontinence – Diagnosis

Overactive bladder – Prognosis

Overactive bladder – Diagnosis

Overflow incontinence – Diagnosis

Urinary incontinence – Epidemiology

Anismus – Diagnosis | Digital rectal examination

Stress incontinence – Treatment | Behavioral changes | Exercises

Overflow incontinence – Management

Stress incontinence – Treatment | Incontinence pads

Anismus – Balloon expulsion test | Rectal cooling test

Fecal incontinence – Diagnostic approach | Clinical measurement

Fecal incontinence – Diagnostic approach

Pelvic floor dysfunction – Grading

Athletic incontinence – Prevalence

Enuresis – Diagnosis

Enuresis – Treatment

Functional incontinence – Non-medical causes

Pelvic floor dysfunction – Treatment

Giggle incontinence – Social consequences

Giggle incontinence – Treatment

Athletic incontinence – Abstract

Cystocele – Prevention

Descending perineum syndrome – Diagnosis

Post-void dribbling – Abstract

Cystocele – Diagnosis | Grading