Knowridge Science Report

AI may help match depression patients to the right treatment faster

Depression is one of the most common mental health conditions in the world. It affects how people feel, think, and live their ...

Machine learning could help predict how people with depression respond to treatment

Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people ...
News Medical

AI model combines speech and brain activity to diagnose depression

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 ...
news.iastate.edu

Detecting depression using digital traces on social media

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 ...
Healio

Machine learning model may be reliable to assess postpartum depression risk

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 ...
Science Daily

Machine learning model helps identify patients at risk of postpartum depression

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 ...
Medscape

Add Anxiety and Depression to CVD Risk Prediction Model?

Adding measures of anxiety and depression to the American Heart Association’s Predicting Risk of Cardiovascular Disease Events (PREVENT) model may have little additional effect on predicting the risk ...