Description:
This pipeline includes the CP prognostic model and the Motor Composite Score Model (based on R and Python), designed to predict CP or the Motor Score using Clinical, Structural Connectivity, Functional Connectivity, and Morphometry data.
Dependencies:
• RStudio
• Python
How to Run:
- Ensure that all dependencies are installed.
- Place your data file in the specified location.
- Use the flowchart in Figure 1 to run the pipeline. When running the pipeline, please consider the following points: a. Users must have two levels of expertise to run this pipeline: i. Intermediate: To feed the data into the code (Combining data, Separating data in Figure 1). ii. Expert: To select the most important components (only for the CP Prognostic Model) b. During the imputation step, to handle missing data, a threshold of 30% missing predictors is applied.
Figure 1. Pipeline Flowchart