Autors: Todorova, V. I., Gancheva, V. S., Mladenov, V. M.
Title: COVID-19 Medical Data Integration Approach
Keywords: Clinical Records, COVID-19, Data Analytics, Data Integration

Abstract: The need to create automated methods for extracting knowledge from data arises from the accumulation of a large amount of data. This paper presents a conceptual model for integrating and processing medical data in three layers, comprising a total of six phases: a model for integrating, filtering, sorting and aggregating Covid-19 data. A medical data integration workflow was designed, including steps of data integration, filtering and sorting. The workflow for Covid-19 medical data from clinical records of 20400 potential patients was employed.

References

    Issue

    WSEAS International Journal of MOLECULAR SCIENCES AND APPLICATIONS, vol. 2, issue 11, pp. 102-106, 2022, Greece, WSEAS PRESS, DOI: 10.37394/232023.2022.2.11

    Вид: статия в списание, публикация в реферирано издание, индексирана в Google Scholar