A Novel AI Framework for Assuring Data Sustainability in Health Care Dataset

A Novel AI Framework for Assuring Data Sustainability in Health Care Dataset

연구 분야: Databases

학회: 2023 Third International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS)

Data is acquired from various sources which helps in reaching the Enterprise Data Warehouses (EDW) and Enterprise Data Hubs (EDH). Therefore, a high quality of sensitive data must be maintained in these EDW and EDH. This quality in data has become crucial for any health care sector since all the analysis and solutions were framed with respect to it. In this article, a well-defined framework is curated for ensuring the data quality by segregating them accordingly. Data performance being the Key Performance Indicator (KPI) ultimately impacts the success or failure of any application in cloud or remote environment. These frameworks also monitor the data performance and enable performance analysis on data quality. The F-Status ensures the diversity among heterogenous dataset and scale them accordingly such that they can be classified as per instance or per batch in healthcare datahubs or data warehouses.