Matrix completion approaches for healthcare big data
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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

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