Skip to content
master
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 

README.md

patient-data-predictions

Patient Data Predictive Modeling

Authors: Brandon Carter and Angie Boggust

Massachusetts Institute of Technology
Leiden Institute of Advanced Computer Science
The goal of this project was to use a bank of patient data from the intensive care unit to determine whether patients received a transfusion as well as which patient features are most critical in the classification. This code addresses the problem using a variety of predictive classification models from scikit-learn. It also provides tools for data parsing, statistical analysis, graphing, and PDF output of decision tree models.

We unfortunately cannot publish any data associated with this database and have anonymized attribute and string names from within the data schema. However, this code shows the skeleton used as part of our analysis of the data and the goal of predictive classification of the patient data.

About

Classification of intensive care patient data

Resources

License

Releases

No releases published

Packages

No packages published

Languages

You can’t perform that action at this time.