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 ‹ Hearing impairment screening

Hearing loss – Diagnosis | Laboratory testing

Hearing loss – Diagnosis | Hearing tests

Sensorineural hearing loss – Diagnosis | Differential testing

Conductive hearing loss – Diagnosis | Tympanometry

Conductive hearing loss – Diagnosis | Differential testing

Sensorineural hearing loss – Diagnosis | Otoscopy

Presbycusis – Diagnosis | Laboratory studies

Noise-induced hearing loss – Prevention

Congenital hearing loss – Treatment

Presbycusis – Diagnosis | Magnetic resonance imaging (MRI)

Noise-induced hearing loss – Prevention | Personal noise reduction devices

Congenital hearing loss – Hearing loss | Other causes of congenital hearing loss

Unilateral hearing loss – Management

Unilateral hearing loss – Hearing issues

Otosclerosis – Diagnosis | CT imaging

Nonsyndromic deafness – Treatment

Nonsyndromic deafness – Epidemiology

Cortical deafness – Treatment

Otosclerosis – Treatment

Occupational hearing loss – Prevention | Hierarchy of controls | Personal protection

Occupational hearing loss – Prevention | Hierarchy of controls

Prelingual deafness – Causes

Auditory processing disorder – Diagnosis | Types of testing

Prelingual deafness – Statistics

Hearing loss with craniofacial syndromes – Nager syndrome