Please provide your email address to receive an email when new articles are posted on . Random forest regression models had an area under the curve of 0.8 with 83% accuracy. The researchers called the ...

Researchers at UMass Lowell have uncovered an innovative way to spot Alzheimer’s disease long before the first official ...

EHRs are a vital way to automate and streamline the healthcare process, but implementation can be challenging. Learn how to smooth the transition.

Researchers from the National Institute of Health Data Science at Peking University and the Department of Clinical Epidemiology and Biostatistics at Peking University People's Hospital have conducted ...

In this special guest feature, Ori Geva, Co-Founder and CEO of Medial EarlySign, discusses how the ue of machine learning can help create new opportunities for earlier intervention and delivery of ...

A mother's health during pregnancy, childbirth and the postpartum period is the foundation of lifelong well-being, directly influencing a child's development and long-term outcomes, yet most ...

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

In the world of pediatrics, technology is transforming how we care for children. One key advancement is the rise of Pediatric Electronic Health Records (EHRs). But what exactly are they, and why are ...

Global Electronic Health Records Market OverviewThe global electronic health records market is witnessing consistent and ...

Embedded pragmatic clinical trials rely heavily on electronic health records for data collection, which is problematic in a few ways, the authors write. To start with, only people who access health ...