"missing data processing" is correct and usable in written English.
You can use it to refer to procedures to identify, fill in, or delete missing or incomplete data. For example, "Data scientists often need to perform missing data processing to ensure the accuracy of their analysis."
The first examined the association of self-care practices with cognition among patients with prevalent (previously diagnosed) HF at the time of hospital admission (n = 411), who were more likely to have been educated about HF self-care prior to admission, and a second analysis was carried out to account for missing data on processing speed through the use of an imputed dataset.
According to Rubin (1987), survey nonresponse includes all the situations in which missing data arise from processing information provided by individuals and the failure of individuals to provide information.
Although there are algorithms for processing missing data, which assume that the missing data is negligible, it is difficult to calculate CPT by the algorithms in the case of incomplete data, especially with excessively missing data.
One way to mitigate the problem is to deal with missing data during the pre-processing step using the same grid protocol across all sites.
The handling of missing data is another important guideline for data processing.
For real datasets, the choice of methods for dealing with missing data can become a critical component of the data processing.
Data preparation: Data processing should be reported, including the assessment of multivariate normality, analysis of missing data, method to address missing data, and data transformations.
Guidelines regarding the configuration of boundary conditions, data processing and validation of numerical modelling as well as dealing with missing data are mentioned.
In this case study, the automation of data processing and geoprocessing of projects data was complicated by a myriad of data quality issues; including missing data, inaccurate data, asymmetric data granularity, and semantic interoperability issues.
