Psychiatric Classification
Cross-source consensus on Psychiatric Classification from 1 sources and 5 claims.
1 sources · 5 claims
Uses
Benefits
Evidence quality
Where it comes from
Highlighted claims
- Model evaluation used 10-fold cross-validation with ROC-AUC and balanced accuracy metrics. — Improving clinical interpretability of linear neuroimaging models through feature whitening
- The study evaluated two psychiatric classification tasks using aggregated multi-site structural-MRI datasets. — Improving clinical interpretability of linear neuroimaging models through feature whitening
- One task classified bipolar disorder patients against healthy controls using BIOBD and BSNIP data. — Improving clinical interpretability of linear neuroimaging models through feature whitening
- Another task classified schizophrenia patients against healthy controls using SCHIZCONNECT-VIP data. — Improving clinical interpretability of linear neuroimaging models through feature whitening
- Whitening preserved classification performance because no significant differences were found between whitened and unwhitened models. — Improving clinical interpretability of linear neuroimaging models through feature whitening