Healthcare Data Quality Assessment for Cybersecurity Intelligence

Considering the efficiency and security of healthcare data processing, indiscriminate collection, annotation, transmission are unwise. In this article, we propose normalized double entropy (NDE) method to assess image quality in form metatask. specific, probability distance both adopted evaluate quality. The experimental results show stable ability NDE distinguish good bad terms information contribution. Furthermore, model's diagnostic performances driven by selected compared, a clear gap exists between them under premise same amount data. Screening 70% dataset can achieve almost accuracy as that based on all This article focuses redundancy provides practical evaluation tool facilitate identification collection valuable data, which is beneficial improve protect cybersecurity systems.