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 ‹ Bladder incontinence screening

Urinary incontinence – Diagnosis

Overactive bladder – Prognosis

Urinary incontinence – Epidemiology

Overflow incontinence – Diagnosis

Overactive bladder – Diagnosis

Overflow incontinence – Management

Underactive bladder – Diagnosis

Stress incontinence – Treatment | Acupuncture

Stress incontinence – Treatment | Incontinence pads

Fecal incontinence – Diagnostic approach | Clinical measurement

Fecal incontinence – Diagnostic approach | Differential diagnosis

Pelvic floor dysfunction – Grading

Vesicoureteral reflux – Diagnosis | Severity

Vesicoureteral reflux – Diagnosis

Underactive bladder – Treatment

Interstitial cystitis – Diagnosis | Differential diagnosis

Pneumaturia – Diagnosis

Neurogenic bladder dysfunction – Treatments

Interstitial cystitis – Diagnosis

Pelvic floor dysfunction – Treatment

Cystocele – Prevention

Post-void dribbling – Abstract

Functional incontinence – Non-medical causes

Bladder stone – Diagnosis

Cystocele – Diagnosis | Grading