<p><strong>ABF Framework — KNIME Workflow</strong></p><p>This KNIME workflow implements the complete <strong>ABF (Apparent Brain Features) framework</strong> for reproducible analysis and prediction.</p><p>The workflow contains the complete processing pipeline, including data preparation, feature processing, model application, and prediction/interpretation steps. The trained models are already included/configured in the workflow, so users do <strong>not need to retrain the models</strong> to test the pipeline.</p><p><strong>Input Data</strong></p><p>The original dataset used for developing and evaluating the framework cannot be distributed with this workflow because it contains FreeSurfer-processed data subject to data-sharing restrictions.</p><p>Therefore, a <strong>sample CSV dataset</strong> is provided with the workflow. The sample dataset demonstrates the required input structure and allows users to execute and explore the complete workflow.</p><p>How to Use the Workflow</p><ol><li><p><strong>Open the workflow in KNIME.</strong></p></li><li><p><strong>Run the workflow using the provided sample CSV.</strong><br>This allows you to verify that the workflow is correctly configured and to explore the different processing steps and outputs.</p></li><li><p><strong>Prepare your own dataset.</strong><br>To use the workflow with your own data, prepare a CSV file following the same structure as the provided sample dataset.</p></li><li><p><strong>Replace the sample CSV with your own dataset.</strong><br>The column names and data types should follow the structure expected by the workflow. The sample CSV can be used as a reference for the required format.</p></li><li><p><strong>Execute the workflow.</strong><br></p></li></ol><p><strong>Important Note</strong></p><p>The sample CSV is provided only to demonstrate the required input structure and to allow users to test the workflow. It does not represent the original dataset used to train and evaluate the models.</p><p>Users who want to apply the workflow to their own data should replace the sample input with a compatible CSV file while maintaining the required structure.</p><p>The workflow is intended to provide a reproducible implementation of the ABF framework within the KNIME Analytics Platform, allowing users to inspect, execute, and adapt the pipeline using their own compatible data.</p><p></p><p>Please refer to the following repositories for the missing nodes. </p><p>Reference Repository:<br>https://github.com/AliBhatti21/Data-Science-with-KNIME.git</p><p>Reference Papers:</p><p>https://link.springer.com/chapter/10.1007/978-981-95-9575-4_21</p><p></p>
ABF Framework — KNIME Workflow
This KNIME workflow implements the complete ABF (Apparent Brain Features) framework for reproducible analysis and prediction.
The workflow contains the complete processing pipeline, including data preparation, feature processing, model application, and prediction/interpretation steps. The trained models are already included/configured in the workflow, so users do not need to retrain the models to test the pipeline.
Input Data
The original dataset used for developing and evaluating the framework cannot be distributed with this workflow because it contains FreeSurfer-processed data subject to data-sharing restrictions.
Therefore, a sample CSV dataset is provided with the workflow. The sample dataset demonstrates the required input structure and allows users to execute and explore the complete workflow.
How to Use the Workflow
Open the workflow in KNIME.
Run the workflow using the provided sample CSV. This allows you to verify that the workflow is correctly configured and to explore the different processing steps and outputs.
Prepare your own dataset. To use the workflow with your own data, prepare a CSV file following the same structure as the provided sample dataset.
Replace the sample CSV with your own dataset. The column names and data types should follow the structure expected by the workflow. The sample CSV can be used as a reference for the required format.
Execute the workflow.
Important Note
The sample CSV is provided only to demonstrate the required input structure and to allow users to test the workflow. It does not represent the original dataset used to train and evaluate the models.
Users who want to apply the workflow to their own data should replace the sample input with a compatible CSV file while maintaining the required structure.
The workflow is intended to provide a reproducible implementation of the ABF framework within the KNIME Analytics Platform, allowing users to inspect, execute, and adapt the pipeline using their own compatible data.
Please refer to the following repositories for the missing nodes.
