An effective data loss prevention (DLP) strategy is essential for protecting your organization's data, but without proper data classification, even the best DLP tools can fall short. Data ...
BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
Traffic classification is a crucial task for network security. One of the most difficult challenges is to accurately identify the traffic of unknown applications as well as discriminate the known ...
The Ministry of Public Health (MoPH) has launched the Qatar Patient Safety Classification as part of its strategic initiatives to strengthen patient safety ...
As AI becomes a transformative part of our technology landscape, a common vocabulary about the capabilities of each new tool and technique is essential. Common vocabularies create shared intellectual ...
As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...
It is applied across governmental, semi-governmental and private healthcare facilities. The Ministry of Public Health (MoPH) ...
One in five insurance entities operating in Bermuda has yet to complete the classification of its data, a basic regulatory ...