Skip to content

Acute Lung Injury Code for Paper Submitted to AMIA. Experimented with a wide range of ML algorithms to predict the risk of Acute Lung Injury for intensive care unit patients in 24-hour intervals using demographic and clinical observation features.

Notifications You must be signed in to change notification settings

anaiy2004/ALI-Risk-Prediction

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 

Repository files navigation

ALI-Risk-Prediction

This is the code for the paper "Predicting Risk of Acute Lung Injury Using Distant Supervision". Documentation will be added eventually. To run the code, one must have access to the MIMIC dataset (have a username and password) + high memory runtime. Also, if you plan on running it on Google Collab, please set a GPU runtime (not a TPU) as the Spark connection to Java servers occaionally does not work for some reason (something about memory usage). If this happens, try restarting the kernel. More details will be added soon. Also, please keep in mind that the performance of many models vary each runtime as there is not a random seed set.

About

Acute Lung Injury Code for Paper Submitted to AMIA. Experimented with a wide range of ML algorithms to predict the risk of Acute Lung Injury for intensive care unit patients in 24-hour intervals using demographic and clinical observation features.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published