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Technological Advances in the Diagnosis and Management of Tinnitus. J Clin Med 2022; 11:jcm11154597. [PMID: 35956212 PMCID: PMC9369963 DOI: 10.3390/jcm11154597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 08/05/2022] [Indexed: 11/23/2022] Open
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Allgaier J, Schlee W, Probst T, Pryss R. Prediction of Tinnitus Perception Based on Daily Life MHealth Data Using Country Origin and Season. J Clin Med 2022; 11:jcm11154270. [PMID: 35893370 PMCID: PMC9331976 DOI: 10.3390/jcm11154270] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 07/01/2022] [Accepted: 07/08/2022] [Indexed: 02/01/2023] Open
Abstract
Tinnitus is an auditory phantom perception without external sound stimuli. This chronic perception can severely affect quality of life. Because tinnitus symptoms are highly heterogeneous, multimodal data analyses are increasingly used to gain new insights. MHealth data sources, with their particular focus on country- and season-specific differences, can provide a promising avenue for new insights. Therefore, we examined data from the TrackYourTinnitus (TYT) mHealth platform to create symptom profiles of TYT users. We used gradient boosting engines to classify momentary tinnitus and regress tinnitus loudness, using country of origin and season as features. At the daily assessment level, tinnitus loudness can be regressed with a mean absolute error rate of 7.9% points. In turn, momentary tinnitus can be classified with an F1 score of 93.79%. Both results indicate differences in the tinnitus of TYT users with respect to season and country of origin. The significance of the features was evaluated using statistical and explainable machine learning methods. It was further shown that tinnitus varies with temperature in certain countries. The results presented show that season and country of origin appear to be valuable features when combined with longitudinal mHealth data at the level of daily assessment.
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Affiliation(s)
- Johannes Allgaier
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97070 Würzburg, Germany;
- Correspondence:
| | - Winfried Schlee
- Department of Psychiatry and Psychotherapy, University of Regensburg, 93053 Regensburg, Germany;
| | - Thomas Probst
- Department for Psychotherapy and Biopsychosocial Health, University for Continuing Education Krems, 3500 Krems, Austria;
| | - Rüdiger Pryss
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97070 Würzburg, Germany;
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