Skip to content

Code for "EigenEvent: An algorithm for event detection from complex data streams in syndromic surveillance"

Notifications You must be signed in to change notification settings

fanaee/EigenEvent

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation


About EigenEvent

Disease outbreak prediction via Tensor/Matrix Decomposition. EigenEvent can be applied to pre-diagonstic signals for prediction of disease outbreaks (e.g. COVID-19).


Installation

  1. Download Tensor toolbox: http://www.sandia.gov/~tgkolda/TensorToolbox/index-2.5.html
  2. Extract tensor_toolbox_2.5.zip into root directory (tensor_toolbox_2.5)

How to cite

Fanaee-T, Hadi, and João Gama. "Eigenevent: an algorithm for event detection from complex data streams in syndromic surveillance." Intelligent Data Analysis 19.3 (2015): 597-616.

Pre-print: https://arxiv.org/abs/1406.3496


Authors

Hadi Fanaee-T, Assistant Professor, Halmstad University, Sweden
Joao Gama, Professor, University of Porto, Portugal


Feedback and bug report

Feedbacks are very welcome. Thank you!
email: hadi.fanaee@hh.se

About

Code for "EigenEvent: An algorithm for event detection from complex data streams in syndromic surveillance"

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages