Machine learning model for reproducing subjective sensations and alleviating sound-induced stress in individuals with developmental disorders

These findings suggest that the prediction model for the Easing task can potentially be developed into a system that automatically reduces sound-induced stress through auditory filtering. Similarly, the model for the Recollection task could be used as a tool for assessing auditory stress. To establish a robust support system, further data collection, particularly from individuals with DD, is necessary.

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Publication Details

Journal
Frontiers in Psychiatry
Published
2025-03-14
DOI
https://doi.org/10.3389/fpsyt.2025.1412019
Citations
1
Primary Topic
Hearing Loss and Rehabilitation
Type
article
Field-Weighted Citation Impact
1.43

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article

Machine learning model for reproducing subjective sensations and alleviating sound-induced stress in individuals with developmental disorders

Makoto Wada, Yasuo Kuniyoshi, Itsuki Ichikawa, Yukie Nagai
1 citations
Frontiers in Psychiatry
Hearing Loss and Rehabilitation
1.43
article

Machine learning model for reproducing subjective sensations and alleviating sound-induced stress in individuals with developmental disorders

Makoto Wada, Yasuo Kuniyoshi, Itsuki Ichikawa, Yukie Nagai
article en
1 citations

Abstract

These findings suggest that the prediction model for the Easing task can potentially be developed into a system that automatically reduces sound-induced stress through auditory filtering. Similarly, the model for the Recollection task could be used as a tool for assessing auditory stress. To establish a robust support system, further data collection, particularly from individuals with DD, is necessary.

Frontiers in PsychiatryVol. 16
National Rehabilitation Center for Persons with Disabilities (JP), The University of Tokyo (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 22%
Hearing Loss and Rehabilitation
1.43
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