Individualized treatment response prediction of dialectical behavior therapy for borderline personality disorder using multimodal magnetic resonance imaging
Our work provides important new insights about treatment prediction in a specific mental disorder of high clinical relevance that is borderline personality disorder, using random forest classification via pretreatment clinical and demographical (CD), functional, and structural magnetic resonance ima...
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| Main Authors: | , , , , , , |
|---|---|
| Format: | Article (Journal) |
| Language: | English |
| Published: |
14 August 2019
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| In: |
Brain and behavior
Year: 2019, Volume: 9, Issue: 9 |
| ISSN: | 2162-3279 |
| DOI: | 10.1002/brb3.1384 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1002/brb3.1384 Verlag, lizenzpflichtig, Volltext: https://onlinelibrary.wiley.com/doi/10.1002/brb3.1384 |
| Author Notes: | Mike M. Schmitgen, Inga Niedtfeld, Ruth Schmitt, Falk Mancke, Dorina Winter, Christian Schmahl, Sabine C. Herpertz |
MARC
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| 520 | |a Our work provides important new insights about treatment prediction in a specific mental disorder of high clinical relevance that is borderline personality disorder, using random forest classification via pretreatment clinical and demographical (CD), functional, and structural magnetic resonance imaging (MRI) data from patients with borderline personality disorder (BPD) to predict individual treatment response. | ||
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