Bumblebee Your Way to Recovery: Transforming The Approach to Detection of Mental Health Relapses
In this paper, we present our solution to ICASSP 2024, task GC-2: The 2nd e-Prevention challenge: Psychotic and Non-Psychotic Relapse Detection using Wearable-Based Digital Phenotyping [1], First Track - detection of non-psychotic relapses, containing mainly depression episodes. The submitted soluti...
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| Published in: | 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) pp. 89 - 90 |
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| Format: | Conference Proceeding |
| Language: | English |
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14.04.2024
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| Abstract | In this paper, we present our solution to ICASSP 2024, task GC-2: The 2nd e-Prevention challenge: Psychotic and Non-Psychotic Relapse Detection using Wearable-Based Digital Phenotyping [1], First Track - detection of non-psychotic relapses, containing mainly depression episodes. The submitted solution consists of an autoencoder and an outlier detector, trained on algorithmically processed night-time data. On the test set, we achieve an average between AUROC and AUPRC of 66.56%, placing us first in the challenge. |
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| AbstractList | In this paper, we present our solution to ICASSP 2024, task GC-2: The 2nd e-Prevention challenge: Psychotic and Non-Psychotic Relapse Detection using Wearable-Based Digital Phenotyping [1], First Track - detection of non-psychotic relapses, containing mainly depression episodes. The submitted solution consists of an autoencoder and an outlier detector, trained on algorithmically processed night-time data. On the test set, we achieve an average between AUROC and AUPRC of 66.56%, placing us first in the challenge. |
| Author | Zych, Bartlomiej Ples, Anna Ryzhankow, Ivan Gorzynski, Kamil |
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| Snippet | In this paper, we present our solution to ICASSP 2024, task GC-2: The 2nd e-Prevention challenge: Psychotic and Non-Psychotic Relapse Detection using... |
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| StartPage | 89 |
| SubjectTerms | Acoustics anomaly detection autoencoder Conferences Depression Detectors digital phenotyping heart rate variability Mental health relapse detection Signal processing Signal processing algorithms |
| Title | Bumblebee Your Way to Recovery: Transforming The Approach to Detection of Mental Health Relapses |
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