Predicting one-year outcome in first episode psychosis using machine learning.

ABSTRACT:

Background

Early illness course correlates with long-term outcome in psychosis. Accurate prediction could allow more focused intervention. Earlier intervention corresponds to significantly better symptomatic and functional outcomes. Our study objective is to use routinely collected baseline demographic and clinical characteristics to predict employment, education or training (EET) status, and symptom remission in patients with first episode psychosis (FEP) at one-year.

Methods and findings

83 FEP patients were recruited from National Health Service (NHS) Glasgow between 2011 and 2014 to a 24-month prospective cohort study with regular assessment of demographic and psychometric measures. An external independent cohort of 79 FEP patients were recruited from NHS Glasgow and Edi

SUBMITTER: Leighton SP 

PROVIDER: S-EPMC6405084 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature