Modeling Extracorporeal Life Support using Parameter Selection and Estimation
ECLIPSE is a tool designed for modeling Extracorporeal Life Support (ECLS) with a focus on parameter selection and estimation. The main script to execute is main.py.
Ensure you have all the required dependencies installed. Refer to requirements.txt for the list of necessary packages. Code runs on Python 3.12.2.
Modify the runtime.txt file to specify the type of run. The options include:
p for normal production run
s for Sensitivity Analysis
f for Parameter Fitting
Run the main.py script: python main.py
The script initializes pytrees and data for the model and launches the corresponding run based on your configuration in runtime.txt.
Store and manage patient-specific parameters in the Patients directory. You can use files like patient_1_data.txt to input data for individual patients. Before you can perform patient specific simulations. You need to run the parameter fitting that creates result_optimization_patient_1.txt in the Optimization folder.
Change ListOfPlots.txt to define desired plots.
Checkout model_plot.py and function plot_results() for currently available plotting capabilities.
- main.py: Main script to run the model.
- Analyses: Scripts for convergence study of Global sensitivity analysis and other analyses.
- Optimization: Contains inputs for parameter optimization and corresponding results.
- Parameters: Initial parameters for models and other configurations.
- Patients: Directory for storing patient-specific data.
- Plots: Directory for storing generated plots.
- Sensitivity: Inputs for Sensitivity analysis and corresponding results.
If you have any questions, do not hesitate to open an issue or send an email to: [email protected] or [email protected]