ArticleFrontiers in neurology2022
A flexible data-driven audiological patient stratification method for deriving auditory profiles.
Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Acoustic Scene-Aware Processing and Auditory Model-Based Compensation Strategies.Journal of the Association for Research in Otolaryngology : JARO · 2026Review
- Identification of sensorineural hearing loss subtypes using unsupervised machine learning and assessment of their replicability.Scientific reports · 2026Article
- The Oldenburg Hearing Health Record (OHHR).Scientific data · 2025Article
- A Machine Learning Model to Predict Postoperative Speech Recognition Outcomes in Cochlear Implant Recipients: Development, Validation, and Comparison with Expert Clinical Judgment.Journal of clinical medicine · 2025Article
- Article
- Artificial Intelligence in Audiology: A Scoping Review of Current Applications and Future Directions.Sensors (Basel, Switzerland) · 2024Article
- Objective Comparison of Auditory Profiles Using Manifold Learning and Intrinsic Measures.Trends in hearingArticle
- Article
- Rapid Profiling of Loudness Among Older Adults.Ear and hearingArticle
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
For characterizing the complexity of hearing deficits, it is important to consider different aspects of auditory functioning in addition to the audiogram. For this purpose, extensive test batteries have been developed aiming to cover all relevant aspects as defined by experts or model assumptions. However, as the assessment time of physicians is limited, such test batteries are often not used in clinical practice. Instead, fewer measures are used, which vary across clinics. This study aimed at proposing a flexible data-driven approach for characterizing distinct patient groups (patient stratification into auditory profiles) based on one prototypical database (
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Registered trials
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