Decision tree distinguish affective disorder diagnosis from psychotic disorder diagnosis with clinical and lab factors.

ABSTRACT:

Background

Affective symptoms usually occur at the same time of psychotic symptoms. An effective predictive method would help the differential diagnosis at an early stage of the mental disorder. The purpose of the study was to establish a predictive model by using laboratory indexes and clinical factors to improve the diagnostic accuracy.

Methods

Subjects were patients diagnosed with psychiatric disorders with affective and/or psychotic symptoms. Two patient samples were collected in the study (n = 309) With three classification methods (logistic regression, decision tree, and discriminant analysis), we established the models and verified the models.

Results

Seven predictors were found to be significant to distinguish the affective disorder diagnosis from the psychoti

SUBMITTER: Liu X 

PROVIDER: S-EPMC9672315 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature