In this paper, data cleaning is carried out with the abnormal data detection and correction technology based on small waves, the elimination sampling shaking technique based on linear interpolation, and the missing data patch technology based on KNN.
Reflecting the fact that even with current NGS technology, missing data are still a problem (Harper et al. 2012), we also assessed the robustness of PSIKO for this type of data.
The most frequently missing data elements were documentation of Assistive Technologies and Devices ATDD - e.g., eye glasses, canes, dentures) accompanying the resident from one setting to the next.
Even for array technology, the rate of missing data can be as high as 0.53% [ 4].
Single nucleotide polymorphism (SNP) data derived from array-based technology or massive parallel sequencing are often flawed with missing data.
Since missing data strategies are becoming more sophisticated and are being facilitated by computer technology that is easily able to process data using complex algorithms, the diversity of missing data strategies that are employed is increasing.
Whole genome shotgun sequencing using technologies that assemble at low coverage values will likewise entail missing data, especially at broader phylogenetic scales.
To account for this uncertainty, plausible value technology is used [ 18, 19, 36, 37] where the latent outcome variable is treated as missing data.
Blanks indicate missing data.
