The authors created a machine learning–based model to identify patients with major depressive disorder in the primary care setting at high risk of frequent emergency department visits, enabling ...
Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers ...
Development of an Electronic Health Record–Based Algorithm for Predicting Lung Cancer Screening Eligibility in the Population-Based Research to Optimize the Screening Process Lung Research Consortium ...
4don MSN
Easy-to-use tool can identify high- and low-risk metastatic prostate cancer patients earlier
A new study published in Nature Communications provides a framework for researching whether earlier, model-guided treatment ...
The LIFE-T1D model, demonstrated an ability to estimate the lifetime risk of heart disease among several groups of people with type 1 diabetes (T1D). Researchers have developed a tool they say can ...
Last year, I faced a harrowing experience that would change my perspective on healthcare forever. What began as an emergency surgery to combat a flesh-eating bacteria quickly turned into a nightmare.
The HOLiFOOD consortium is reimagining food safety risk assessment for the benefit of all stakeholders in the food chain ...
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