Journal article
Early identification of bipolar disorder among young adults – a 22‐year community birth cohort
Abstract
OBJECTIVE: We set forth to build a prediction model of individuals who would develop bipolar disorder (BD) using machine learning techniques in a large birth cohort.
METHODS: A total of 3748 subjects were studied at birth, 11, 15, 18, and 22 years of age in a community birth cohort. We used the elastic net algorithm with 10-fold cross-validation to predict which individuals would develop BD at endpoint (22 years) at each follow-up visit before …
Authors
Rabelo‐da‐Ponte FD; Feiten JG; Mwangi B; Barros FC; Wehrmeister FC; Menezes AM; Kapczinski F; Passos IC; Kunz M
Journal
Acta Psychiatrica Scandinavica, Vol. 142, No. 6, pp. 476–485
Publisher
Wiley
Publication Date
December 2020
DOI
10.1111/acps.13233
ISSN
0001-690X