Ontology highlight
ABSTRACT: Background
Diagnosing major depressive disorder (MDD) is challenging, with diagnostic manuals failing to capture the wide range of clinical symptoms that are endorsed by individuals with this condition.Objective
This study aims to provide evidence for an extended definition of MDD symptomatology.Methods
Symptom data were collected via a digital assessment developed for a delta study. Random forest classification with nested cross-validation was used to distinguish between individuals with MDD and those with subthreshold symptomatology of the disorder using disorder-specific symptoms and transdiagnostic symptoms. The diagnostic performance of the Patient Health Questionnaire-9 was also examined.Results
A depression-specific model demonstrated good predictive
SUBMITTER: Martin-Key NA
PROVIDER: S-EPMC8587324 | biostudies-literature | 2021 Oct
REPOSITORIES: biostudies-literature