Development and Validation of a Machine Learning–Based Model of Mortality Risk in First-Episode Psychosis
This is a virtual seminar. For a Zoom link, please see "Venue". Please consider subscribing to mailing list: web.maillist.ox.ac.uk/ox/subscribe/ai4mch
This prognostic study developed and validated a machine-learning model using extensive Swedish and Finnish databases, identifying mortality risk in first-episode psychosis. For patients with predicted high risk, only long-acting injectable antipsychotics and mood stabilizers were associated with decreased mortality risk; among those with predicted low risk, oral aripiprazole and risperidone were associated with decreased mortality risk.
Date:
19 November 2024, 15:00 (Tuesday, 6th week, Michaelmas 2024)
Venue:
https://zoom.us/j/96325047461?pwd=zGAc6FLGXwg4fq7noWrlaGu6JV8aO8.1
Speaker:
Dr Johannes Lieslehto (Karolinska Institutet, Sweden)
Organising department:
Department of Psychiatry
Organiser:
Dr Andrey Kormilitzin (University of Oxford)
Organiser contact email address:
andrey.kormilitzin@psych.ox.ac.uk
Host:
Dr Andrey Kormilitzin (University of Oxford)
Part of:
Artificial Intelligence for Mental Health Seminar Series
Booking required?:
Not required
Booking url:
https://web.maillist.ox.ac.uk/ox/info/ai4mch
Booking email:
andrey.kormilitzin@psych.ox.ac.uk
Cost:
https://web.maillist.ox.ac.uk/ox/info/ai4mch
Audience:
Public
Editor:
Andrey Kormilitzin
