A Preliminary Study on Cleaning up Erroneous Data and Filling in Missing Values in A Medical Record∗. Issue 20 (2015)

• Record Type: Journal Article
• Authors: Bai, Er-Wei; Johnson, Hans; Xu, Weiyu; Jacob, Mathews
• Is Part Of: IFAC-PapersOnLine. Volume 48:Issue 20(2015)
• Page Start: 493
• Page End: 498
• Publication Date: 2015
• Subjects: missing data -- erroneous data -- Gaussian process model -- low rank matrices; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2015.10.189
• Languages: English
• ISSNs: 2405-8963

Abstract

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.