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A Preliminary Study on Cleaning up Erroneous Data and Filling in Missing Values in A Medical Record
Journal article   Open access

A Preliminary Study on Cleaning up Erroneous Data and Filling in Missing Values in A Medical Record

Er-Wei Bai, Hans Johnson, Weiyu Xu and Mathews Jacob
Proceedings of the IFAC World Congress. International Federation of Automatic Control. World Congress, Vol.48(20), pp.493-498
2015
DOI: 10.1016/j.ifacol.2015.10.189
PMCID: PMC6110666
PMID: 30159550
url
https://doi.org/10.1016/j.ifacol.2015.10.189View
Published (Version of record) Open Access

Abstract

This study investigates various possible approaches in dealing with missing or erroneous data sets. Cleaning up erroneous values and filling in missing values in a meaningful way play a critical role for the consequent data analysis and decision making. What makes a meaningful way depends on available prior information. In this preliminary study, a number of possible approaches are proposed and tested on an actual Huntington disease data, depending on the assumptions.
erroneous data Gaussian process model low rank matrices missing data

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