Social media is a sounding board of sorts in today's world. It's a place where people go to share their thoughts, opinions and feelings—and to test the reactions of others, too. In return, they ...
Researchers have developed a deep learning model to detect mental health symptoms and risk factors on social media. Image: Adobe Stock/Deb Berger for Iowa State University. AMES, Iowa – Social media ...
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 ...
In a recent study uploaded to the medRxiv* pre-print server, researchers built and assessed machine learning models to predict depression in pregnant women using electronic medical record data. Their ...
Researchers were able to predict depression severity for white people, but not for Black people using standard language-based computer models to analyze Facebook posts. Words and phrases associated ...
In a study published in the Proceedings of the National Academy of Sciences (PNAS), researchers from the University of Pennsylvania have uncovered significant disparities in the effectiveness of ...
People with depression tend to write and speak about how bad they feel, years of research has shown. But linguistic features linked to depression seem to be absent in Black people’s social media posts ...
The PROVIDE model vs usual care decreases depressive and anxiety symptoms with small effects in the short and long term among adults attending primary care. An integrated mental health video ...
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