Additional functionality¶

When using SimpleWORC, or WORC with similar simple configuration settings, you can already benefit from the main functionality of WORC, i.e. the automatic algorithm optimization. However, several additional functionalities are provided, which are discussed in this chapter.

Evaluation¶

Documentation WIP.

ComBat¶

ComBat feature harmonization is embedded in WORC. A wrapper, compatible with the other tools provided by WORC, is included in the installation. We have included wrapping around the Matlab and Python code (neurocombat) from the original ComBat code. We recommend to use the Python code by default.

When using ComBat, the following configurations should be done:

Set config['General']['ComBat'] to 'True'.
To change the ComBat parameters (i.e. which batch and moderation variable to use), change the relevant config fields, see the Config chapter.
WORC extracts the batch and moderation variables from the label file which you also use to give WORC the actual label you want to predict. The same format therefore applies, see the User manual for more details..

Note

In line with current literature, ComBat is applied once on the full dataset straight after the feature extraction, thus before the actual hyperoptimization. Hence, to avoid serious overfitting, we advice to NEVER use the variable you are trying to predict as the moderation variable.

Elastix¶

Documentation WIP.

Regression¶

Documentation WIP.

Survival¶

Documentation WIP.

Segmentix¶

Documentation WIP.

ICC¶

Documentation WIP.