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 ...

From testing, Delphi-2Ms’ predictions matched or exceeded the accuracy of current models for most diseases. It also proved to ...

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 ...

To diagnose depression, clinicians interview patients, asking specific questions -- about, say, past mental illnesses, lifestyle, and mood -- and identify the condition based on the patient's ...