Example prediction code for MATLAB for the PhysioNet/CinC Challenge 2019
This prediction code uses three scripts:
get_sepsis_score.mmakes predictions on clinical time-series data. Add your prediction code to the
load_sepsis_model.mloads model weights, etc. for making predictions. To reduce your code's run time, add any code to the
load_sepsis_modelfunction that you only need to run once, such as loading weights for your model.
get_sepsis_scoremany 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
You can run this prediction code by starting MATLAB and running
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.
See the PhysioNet webpage for more details, including instructions for the other files in this repository.