Publikation:
Predicting the optimal therapeutic intervention for tinnitus patients using random forest regression: A preliminary study of UNITI's decision support system model
Datum
2022
Konferenzartikel
Bromis, K., Schlee, W., Sarafidis, M., Manta, O., Kouris, I., Vellidou, E., & Koutsouris, D. (2022). Predicting the optimal therapeutic intervention for tinnitus patients using random forest regression: A preliminary study of UNITI’s decision support system model. Ieee, 2655–2658. https://doi.org/10.1109/embc48229.2022.9871331
Zusätzliche Indizierung
| Departement / Abteilung | |
|---|---|
| Institut/ Bereich | |
| Institution | Eastern Switzerland University of Applied Sciences (OST) |
| Titel | Predicting the optimal therapeutic intervention for tinnitus patients using random forest regression: A preliminary study of UNITI's decision support system model |
| Autor:in | |
| Erschienen in | IEEE |
| Konferenztitel | 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) |
| Konferenzort | Glasgow, United Kingdom |
| Seitenanfang | 2655 |
| Seitenende | 2658 |
| Datum der Veröffentlichung | 2022 |
| Peer-review | true |
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