title: Optimizing a nonlinear mathematical approach for the computerized analysis of mood curves.
abstract: A nonlinear mathematical model for computerized description of mood curves is presented. This model reaches a high goodness of fit to the real data. It seems superior to two other models recently proposed. Using this model in a computer program for describing the mood data of a large sample of inpatients, significant and clinically meaningful group differences between the mood curves of schizophrenic, endogenous-depressive, and neurotic-depressive inpatients could be demonstrated. The application of the methodology might be helpful, e.g. in the field of evaluative research.
authors.affiliation: Psychiatric Department, University of Technology, Munich, FRG.
authors.forename: H J
authors.initials: HJ
authors.lastname: Möller
authors.forename: M
authors.initials: M
authors.lastname: Leitner
mesh_terms: D000339:Affect; D003201:Computers; D003866:Depressive Disorder / Q000523:psychology; D006801:Humans; D008960:Models, Psychological; D012565:Schizophrenic Psychology