Algorithms Identify People with Suicidal Thoughts


Publication Title
IEEE Spectrum
Publication Date
November 2 2017
Creators/Contributors
Emily Waltz (creator)
Marcel Adam Just (contributor)
Carnegie Mellon University (contributor)
University Of Pittsburgh (contributor)
Lisa Pan (contributor)
David Brent (contributor)
Media Type
Journal Article
Persuasive Intent
Information
Description
Mention strong words such as “death” or “praise” to someone who has suicidal thoughts and chances are the neurons in their brains activate in a totally different pattern than those of a non-suicidal person. That’s what researchers at University of Pittsburgh and Carnegie Mellon University discovered, and trained algorithms to distinguish, using data from fMRI brain scans.
HCI Platform
Other
Discursive Type
Inventions
Location on Body
Brain
Source
https://spectrum.ieee.org/the-human-os/biomedical/imaging/algorithms-identify-people-with-suicidal-thoughts

How to cite this entry
Emily Waltz. (November 2 2017). "Algorithms Identify People with Suicidal Thoughts". IEEE Spectrum. IEEE Spectrum. Fabric of Digital Life. https://fabricofdigitallife.com/index.php/Detail/objects/2679