Machine learning in first-episode psychosis
Listen now
Description
Dr. Pavan Mallikarjun joins Christina Wayman to discuss a new machine learning approach for predicting symptom remission, recovery, and quality of life outcomes in patients with first-episode psychosis.
More Episodes
Developing and validating an algorithm for automated circulatory arrest detection with wrist-derived photoplethysmography with Judith Bonnes from the Department of Cardiology of the Radboud University Medical Center - Netherlands.
Read the full...
Published 03/07/24
Published 03/07/24
Dr Andrew Soltan joins Dr Lucy Dunbar to discuss the development, testing and deployment of a federated learning system across four UK hospital groups.
Continue this conversation on social!
Follow us today...
Published 01/24/24
Links
Twitter
Facebook
Instagram
Patreon
Genres
Artwork or description wrong?
Request an update »
Updates may take a few minutes.
Do you host a podcast?
Track your ranks and reviews from Spotify, Apple Podcasts and more.
See hourly chart positions and more than 30 days of history.
Get Chartable Analytics »
See hourly chart positions and more than 30 days of history.
