Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Abstract: As technology scales to smaller nanometer nodes, Electromigration (EM) has become one of the most significant challenges in the EDA industry. Due to the reduction of the interconnect ...

Abstract: The prediction of patient care costs is essential in supporting hospital financial planning and enhancing service transparency. This practical work report presents the development of a cost ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

This paper summarizes insights from an April 2024 convening by the Yale School of Public Health—The Role of Data in Public Health Equity and Innovation—with intersectoral stakeholders from academia, ...

The names and addresses of thousands of patients of the Illinois Department of Human Services were incorrectly made publicly viewable for the last several years, the agency said Friday. Several maps ...

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Benign paroxysmal positional vertigo (BPPV)-related residual dizziness (RD), a type of dizziness following successful treatment of BPPV, has been increasingly recognized, with a reported prevalence ...