Abstract: This article introduces the Bayesian probabilistic fuzzy neural network (BPFNN), designed to overcome the limitations of Fuzzy C-Means (FCM) clustering, which struggles with uncertainty, ...

Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...

Abstract: Nowadays, rapid digital transformation and the capacity to precisely predict the future from enormous and intricate data sets are essential for many industries. The paper outlines a powerful ...

In patients with chronic pancreatitis, an evidence-based management algorithm was not superior to standard practice in improving quality of life or reducing pain severity. Although a significant ...

For more than a decade, Olivia Ferro, 26, struggled with health issues and a medical system that couldn’t seem to figure out what was wrong with her. She gained weight and suffered excruciating ...

While artificial intelligence solutions can reduce administrative burden in prior authorizations and billing, organizations are reporting increased transaction volumes and higher costs, according to a ...

The White House will make the case Monday to Congress — and to voters — that it has developed a strategy to address frequent frustrations involving U.S. medical care, such as too few physicians and ...

Increasingly, teens and adults are turning to artificial intelligence chatbots for companionship and emotional support, recent studies and surveys show. And so, mental health care providers should ...

Preventing future health crises requires urgent, coordinated action that recognizes the deep interconnections between the health of people, animals, plants and ecosystems. As global challenges ...

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