Publication Date: 2023/11/28
Abstract: Developing an advanced COVID-19 screening scheme using Azure’s heterogeneous datasets coupled with ECDC data. Combining comprehensive datasets, including medical records, radiological imaging scan, clinical details, and epidemiological information from ECDC will produce a refined and accurate model for diagnosing COVID-19 and integrating the capabilities of data lakes and data warehouses. Azure’s dataset integration incorporates information like X- rays, CT scans, patient demographics, clinical symptoms,while ECDC data encompasses broad epidemiological, transmission rates, and geographical spread. The final aim is to present healthcare practitioners with a diagnostic aid for rapid and accurate differentiation of a COVID-19 positive and non- COVID-19 patient thus facilitating immediate patient management and framing response measures to be put into place during pandemics. Using the extensive epidemiological data repository generated by the European Center for Disease Prevention and Control (ECDC) coupled with its Azure services, including Azure Data Lake Storage, Azure Databricks, and Power BI, the development efforts would be focused on creating an adaptable approach for prompt detection of new COVID-19 cases, enabling healthcare institutions.
Keywords: COVID-19, Healthcare Management, Azure Data Factory, Azure Data Storage.
DOI: https://doi.org/10.5281/zenodo.10213496
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23NOV1138.pdf
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