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
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