Predicting Psychosis and Neurogenerative Diseases from Speech: A Machine Learning Approach

Event Details
  • Date/Time:
    • Thursday February 27, 2020
      5:00 pm - 6:10 pm
  • Location: Swann 115
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact

Lelia Glass

lelia.glass@modlangs.gatech.edu

Summaries

Summary Sentence: Dr. Phillip Wolff (Professor of Psychology at Emory University) uses machine learning to predict a person's mental health status from the speech and text that they produce.

Full Summary: No summary paragraph submitted.

Media
  • Predicting Psychosis and Neurogenerative Diseases from Speech: A Machine Learning Approach Predicting Psychosis and Neurogenerative Diseases from Speech: A Machine Learning Approach
    (image/png)
Speaker: Dr. Phillip Wolff, Emory University Department of Psychology
 
Description: Phillip Wolff, professor of Psychology at Emory University, uses machine learning to predict a person's mental health status from the speech and text that they produce. This endeavor integrates ideas from the study of language, psychology, neuroscience, and computing for healthcare.
 
Part of the Workshop on Language, Technology, and Society generously sponsored by the Institute for People and Technology, the GVU Center, and the Atlanta Global Studies Center

Additional Information

In Campus Calendar
Yes
Groups

IPaT

Invited Audience
Faculty/Staff, Postdoc, Public, Graduate students, Undergraduate students
Categories
Seminar/Lecture/Colloquium
Keywords
No keywords were submitted.
Status
  • Created By: Alyson Key
  • Workflow Status: Published
  • Created On: Feb 6, 2020 - 3:43pm
  • Last Updated: Feb 6, 2020 - 3:46pm