COVID-19 Medical Data Integration Approach

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, so...

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Bibliographic Details
Published inMOLECULAR SCIENCES AND APPLICATIONS Vol. 2; pp. 102 - 106
Main Authors Todorova, Violeta, Gancheva, Veska, Mladenov, Valeri
Format Journal Article
LanguageEnglish
Published 18.07.2022
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Summary: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.
ISSN:2944-9138
2732-9992
DOI:10.37394/232023.2022.2.11