Code for a reinforcement learning model applied to the management of intravenous fluids and vasopressors in patients with sepsis in intensive care.
Related to publication: https://www.nature.com/articles/s41591-018-0213-5
Author: Dr Matthieu Komorowski, Imperial College London, 2015-2019 - m.komorowski14@imperial.ac.uk
The 2 datasets used in the research are:
Cohort definition: all adult patients fulfilling the sepsis-3 definition: http://jamanetwork.com/journals/jama/fullarticle/2492881
This repository contains:
I. the Jupyter notebook to perform data extraction in MIMIC-III (AIClinician_Data_extract_MIMIC3_140219.ipynb)
II. the Matlab code to identify the cohort of patients with sepsis in MIMIC-III (AIClinician_sepsis3_def_160219.m)
III. the Matlab code to re-create the MIMIC-III dataset (AIClinician_MIMIC3_dataset_160219.m)
IV. the Matlab code (AIClinician_core_160219.m) to:
V. Additional files:
External files and toolboxes used: