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 detail a neural-network model that can be unleashed on raw text and audio data from interviews to discover speech patterns indicative of depression. Given a new subject, it can accurately ...
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 ...
Diagnosing depression is a tricky business. There’s no blood test, no scan, no biopsy to provide hard evidence of something gone awry. Instead, the full weight is on the skill of a trained clinician ...
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 ...
As I have been documenting in my past three blogs, there is a “crisis” emerging regarding the mental health of college students, and probably in society at large. Although there are likely many ...
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