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Missing data is a typical problem for many hands-on tasks and researches, which has required human intervention and contributed to an increase in errors during algorithms application that demand for a large number of metrics. Solving this particular problem is essential for medicine and healthcare, because it allows more easily diagnosing certain types of diseases, improving medical service quality, etc. The main approach for medical data imputation is to automate this process at all stages, beginning from finding the NA (Not Available) or missing Data, to the completion of the analysis and insertion of lost information entity. The proposed methods of mathematical computing and modeling, statistical functions, data flow diagrams during the imputation, and the use of computer programming tools should be implemented in the medical field to improve and address the missing data issue. The evaluation of key …