title: Detecting dysfunctional behavior in adolescents: the examination of relationships using neural networks.
abstract: We describe a neural network that models the effect of personality, social, and environmental variables on hopelessness in adolescents. A sensitivity analysis suggests the effect that variation in each of the input variables will have on the output. Clinical implications are that health professionals can focus their attention on the variables most likely to impact upon the outcome.
authors.affiliation: University of Missouri, Columbia.
authors.forename: J C
authors.initials: JC
authors.lastname: Reid
authors.forename: S S
authors.initials: SS
authors.lastname: Nair
authors.forename: J H
authors.initials: JH
authors.lastname: Kashani
authors.forename: V G
authors.initials: VG
authors.lastname: Rao
mesh_terms: D000293:Adolescent; D000294:Adolescent Behavior; D003863:Depression / Q000523:psychology*; D005190:Family / Q000523:psychology; D005260:Female; D006801:Humans; D008297:Male; D008960:Models, Psychological; D009042:Motivation; D016571:Neural Networks, Computer; D010551:Personality; D000297:Psychology, Adolescent / Q000379:methods; D012944:Social Support