Matrix completion approaches for healthcare big data
0
1
Entering edit mode
7.2 years ago

I am working on a prediction problem that leverage sparse clinical datasets. 


Missing data rate is in the range of 80%. 

1- I am wondering if there is any example of application of matrix completion to clinical or other datasets with such a missing rates. 

2- Currenlty exploring glmnet, pcaMethods and SoftImpute pacakages. I am also looking for R packages/SAS routines that can handle such sparse clinical data matrix and perform matrix completion. 

3- I would like assess the reliability of my filled-in values, is there any metric or score to assess the quality of the matrix completion. 


Thanks in advance !  

 

PS. Cross-posted from here. I solved this problem using a method from pcaMethods; posting it here to get thoughts from biomedical / healthcare datasciencey folks here. 

bigdata data-science • 1.7k views
ADD COMMENT

Login before adding your answer.

Traffic: 2079 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6