R9212/README.md
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README.md
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			# 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.