Diffusion Challenge2019_Submission_7 (master)
Recent Commits
Recent Commits
Commit | Author | Details | Committed | ||||
---|---|---|---|---|---|---|---|
5fffa754af2c | sopic | Regression with GP optimizid | Aug 25 2019 |
README.md
README.md
Example prediction code for MATLAB for the PhysioNet/CinC Challenge 2019
Contents
This prediction code uses three scripts:
- get_sepsis_score.m makes predictions on clinical time-series data. Add your prediction code to the get_sepsis_score function.
- load_sepsis_model.m loads model weights, etc. for making predictions. To reduce your code's run time, add any code to the load_sepsis_model function that you only need to run once, such as loading weights for your model.
- driver.m calls load_sepsis_model once and get_sepsis_score many times. It also performs all file input and output. Do not edit this script -- or we will be unable to evaluate your submission.
Check the code in these files for the input and output formats for the load_sepsis_model and get_sepsis_score functions.
Running
You can run this prediction code by starting MATLAB and running
driver(input_directory, output_directory)
where input_directory is a directory for input data files and output_directory is a directory for output prediction files. The PhysioNet/CinC 2019 webpage provides a training database with data files and a description of the contents and structure of these files.
Details
See the PhysioNet webpage for more details, including instructions for the other files in this repository.
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