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AI model analyzes social media posts to detect signs of depression
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 ...
Depression is one of the most common mental illnesses. As many as 280 million people worldwide are affected by this disease, which is why researchers at Kaunas University of Technology (KTU) have ...
In a recent study published in Humanities and Social Sciences Communications, a group of researchers developed an innovative depression detection model that leverages audiovisual features from YouTube ...
Depression is one of the most common mental illnesses. As many as 280 million people worldwide are affected by this disease, which is why researchers at Kaunas University of Technology (KTU) have ...
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 ...
Please provide your email address to receive an email when new articles are posted on . The model demonstrated a high degree of predictability for postpartum depression. Of those predicted to have a ...
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