becuriouss / evaluation-2019

Evaluation code for the PhysioNet/CinC Challenge 2019

Evaluation code for the PhysioNet/CinC Challenge 2019

Contents

The Python script evaluate_sepsis_score.py evaluates predictions from your algorithm using a utility-based evaluation metric that we designed for the PhysioNet/CinC Challenge 2019.

Running

You can run the evaluation code by installing the NumPy Python package and running

python evaluate_sepsis_score.py labels predictions scores.psv

where labels is a directory containing files with labels, such as the training database on the PhysioNet webpage; predictions is a directory containing files with predictions produced by your algorithm; and scores.psv (optional) is a collection of scores for the predictions (described on the PhysioNet website).

For PhysioNet/CinC 2019, we use the utility score, which is the last (fifth) score in the output of this function.

Example prediction code

This repository contains evaluation code for the PhysioNet/CinC Challenge 2019. Looking for MATLAB, Python, or R example prediction code? See the repositories in https://github.com/physionetchallenges.