Architectures and strategies for the differential diagnosis of adolescent depression and anxiety: bridging tabular deep learning, interpretability, and scale streamlining.
BMC psychiatry · 2026
Abstract e pubblicazione originale
L’abstract è consultabile nella fonte originale. Non viene ripubblicato qui perché non risulta verificata una licenza compatibile.
Leggi nella fonte originale ↗Parole chiave
HumansDeep LearningDiagnosis, DifferentialAdolescentAnxiety DisordersAnxietyDepressionMachine LearningClinical instrument streamliningData balancing and synthesisDifferential diagnosis of depression and anxietyInterpretability analysisState space models (SSM)Tabular deep learningInterpretability AnalysisTabular Deep LearningState Space Models (Ssm)Clinical Instrument StreamliningData Balancing And SynthesisDifferential Diagnosis Of Depression And Anxiety
Come citare questo studio
Sun R, Wu Y, Luo Z, Zheng Q, Bai Y, Pan X, Ding X, Liu L, Dong G, Guan X. (2026). Architectures and strategies for the differential diagnosis of adolescent depression and anxiety: bridging tabular deep learning, interpretability, and scale streamlining.. BMC psychiatry. DOI: 10.1186/s12888-026-08484-1
Consulta la pubblicazione originale ↗