ArticleDiagnostics (Basel, Switzerland)2024
Predicting Sudden Sensorineural Hearing Loss Recovery with Patient-Personalized Seigel's Criteria Using Machine Learning.
Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Serum ENA-78, CXCL1, and caspase-3 are associated with disease severity and early hearing recovery in idiopathic sudden sensorineural hearing loss.Frontiers in neuroscience · 2026Article
- Construction and efficacy evaluation of a prognostic assessment model for corticosteroid treatment in patients with sudden sensorineural hearing loss based on lipid metabolism profile.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundAccurate prognostic prediction is crucial for managing Idiopathic Sudden Sensorineural Hearing Loss (ISSHL). Previous studies developing ISSHL prognosis models often overlooked individual variability in hearing damage by relying on fixed frequency domains. This study aims to develop models predicting ISSHL prognosis one month after treatment, focusing on patient-specific hearing impairments.
methodsPatient-Personalized Seigel's Criteria (PPSC) were developed considering patient-specific hearing impairment related to ISSHL criteria. We performed a statistical test to assess the shift in the recovery assessment when applying PPSC. The utilized dataset of 581 patients comprised demographic information, health records, laboratory testing, onset and treatment, and hearing levels. To reduce the model's reliance on hearing level features, we used only the averages of hearing levels of the impaired frequencies. Then, model development, evaluation, and interpretation proceeded.
resultsThe chi-square test (
conclusionsWith PPSC, providing a hearing assessment comparable to traditional Seigel's criteria, the developed models successfully predicted ISSHL recovery one month post-treatment by considering patient-specific impairments.
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Registered trials
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