OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...

Nevada’s IT agency has rolled out a new policy aimed at standardizing the privacy of state data, months after a massive cyberattack crippled certain systems for weeks. The policy announced Wednesday ...

Nevada has adopted a Statewide Policy for Data Classifications, which establishes a framework for how information across the executive branch is classified and protected. The new policy, approved Feb.

On 24 January, the Cyberspace Administration of China (CAC) released the Draft Guidelines on Data Classification and Grading for Financial Information Services (the Guidelines) for public consultation ...

One in five insurance entities operating in Bermuda has yet to complete the classification of its data, a basic regulatory requirement under the Bermuda Monetary Authority’s cyber-risk framework, ...

The cybersecurity industry has turned data lineage into another buzzword, with vendors promising complete data visibility that will solve all data protection challenges. This marketing transforms a ...

Welcome to the protegrity-developer-edition repository, part of the Protegrity AI Developer Edition suite. This repository provides a self-contained experimentation platform for discovering and ...

The current study leverages large language models (LLMs) to capture health behaviors expressed in social media posts, focusing on COVID-19 vaccine-related content from 2020 to 2021. To examine the ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.

ABSTRACT: Background: Treatment-resistant depression (TRD) poses significant clinical challenges, with many patients inadequately responding to augmentation strategies like aripiprazole. Pramipexole, ...