Clinical coding underpins the integrity of healthcare records, functioning as an essential bridge between patient care, administrative processes and research analytics. Robust coding transforms ...

The study of clustering and classification of uncertain data addresses the challenges posed by imprecise, noisy, or inherently probabilistic measurements common in many modern data acquisition systems ...

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

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 ...

The healthcare industry is no stranger to technological advancements, and artificial intelligence (AI) is quickly becoming a game-changer in multiple areas. From diagnosing medical conditions to ...

Data collection is the process of gathering and measuring information used for research. Collecting data is one of the most important steps in the research process, and is part of all disciplines ...