Food insecurity identification modeling for Medicare can establish a reliable method of prioritizing members at risk of food ...
Abstract: Massively amounts of text data have been created on the Internet due to the widespread use of platforms like social media. Text classification is one of the most frequently used techniques ...
The goal of this article is to address the most common questions practitioners are asking today about gen AI in e-discovery.
Objective To explore healthcare professionals’ experiences with medication errors (MEs) in terms of types and factors that contribute to them. Design A mixed-methods study was conducted to explore the ...
Abstract: Technology development has led to increased data generated in education, sparking interest in information extraction to support educational management through automated data analysis. Using ...
Please provide your email address to receive an email when new articles are posted on . The WISEcode classification system graded ultra-processed foods more evenly vs. the NOVA system. The tool ...
In today's digital landscape, organizations face an unprecedented challenge: managing and protecting ever-growing volumes of data spread across multiple environments. As someone deeply involved in ...
Many academic institutions apply their data classification schemas in service of a range of institutional functions. At UW–Madison, for example, we use data classification in the following ways: With ...
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