We've updated our Privacy Policy to make it clearer how we use your personal data.

We use cookies to provide you with a better experience, read our Cookie Policy

Model Can More Naturally Detect Depression in Conversations

News   Aug 31, 2018 | Original Press Release from MIT

 
Model Can More Naturally Detect Depression in Conversations

MIT researchers have developed a neural-network model that can analyze raw text and audio data from interviews to discover speech patterns indicative of depression. This method could be used to develop diagnostic aids for clinicians that can detect signs of depression in natural conversation. Credit: MIT

 
 
 

RELATED ARTICLES

Photosynthesis Olympics Sort the Wheat From the Chaff

News

Scientists have put wheat varieties through a “Photosynthesis Olympics” to find which varieties have the best performing photosynthesis.

READ MORE

Bioactive Agents Improve Synthetic Bone Substitutes

News

Synthetic bone substitutes are promising materials for bone defect repair, but their efficacy can be substantially improved by bioactive agents such as growth factors. In a new study, researchers have modified beta-tricalcium phosphate (β-TCP) with increasing quantities of bone morphogenetic protein 2 (BMP-2) derived from E. coli and shown improved bone healing.

READ MORE

Museums Are Putting Ancient DNA To Work for Wildlife

News

The museum-based lab is working with researchers and government agencies on projects that require DNA analysis, such as wildlife conservation.

READ MORE

 

Like what you just read? You can find similar content on the communities below.

Genomics Research

To personalize the content you see on Technology Networks homepage, Log In or Subscribe for Free

LOGIN SUBSCRIBE FOR FREE