Goal-oriented Coagulation Management (GCM) Algorithm

Personalized Modulation of Coagulation Factors Using a Thrombin Dynamics Model to Treat Trauma-induced Coagulopathy

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This is the repository for the algorithm developed and proposed in the above mentioned paper.

System Requirements

Hardware requirement

This algorithm only requires a standard computer with enough RAM to support in-memory operations.

Software requirements

Running the GCM algorithm code requires a recent version of MATLAB. R2018a and newer is recommended. The algorithm is tested on the following MATLAB versions: R2018a, R2018b, R2019b, R2020a

Install MATLAB according to MathWorks installation guide (https://www.mathworks.com/help/install/install-products.html)

Initializing and User Instructions:

1. Open MATLAB.
2. Boundedline function used to mark the normal region can be retrieved from the following: Kelly Kearney (2020). boundedline.m (https://github.com/kakearney/boundedline-pkg), GitHub. Retrieved December 12, 2020.
3. Extract boundedline-pkg to MATLAB directory.
4. Add DetermineDelayTherapy.m function file to MATLAB directory.
5. Add GCM_Algorithm_Parameter_Data.mat file to MATLAB directory.
6. Open and run the algorithm file, GCM_Algorithm_for_TIC.m.
7. When prompted to input factor concentration values, use the trauma patient coagulation factor concentration measurements provided as a sample data set in TraumaSampleFactorConcentration_ForDemo.xlsx.
8. The algorithm will output the recommended concentrations, as well as CAT with current factors and CAT with normal factors.
9. Estimated run time is less than a minute.

Software Licence

©Copyright 2021 University of Florida Research Foundation, Inc. All Commercial Rights Reserved.

Important Dates

23 March 2021 – Latest Updates