Computerized psychiatric diagnoses based on euclidean distances: a Chinese example

Acta Psychiatr Scand. 1992 Jan;85(1):11-4. doi: 10.1111/j.1600-0447.1992.tb01434.x.

Abstract

Current diagnostic methods in psychiatry use sequential logical decision rules that generate a single diagnosis. Insufficient attention has been paid to parallel methods that can simultaneously determine the relative probability of many diagnoses. This study installed 45 items from various symptom scales on a portable computer and applied a euclidean distance formula to generate immediate diagnoses based on responses to the items. The reliability and validity of the method were assessed using Chinese psychiatric inpatients. Interrater reliability was excellent (kappa = 0.91) and 3-week test-retest reliability was fair (k = 0.50). The concordance of this method with clinicians' diagnoses and with diagnoses based on standardized Chinese diagnostic criteria was excellent (k = 0.73 and 0.76). Concordance with DSM-III-R diagnoses and ICD-10 diagnoses was fair (kappa = 0.55 and 0.65). The clinical utility of such parallel methods of psychiatric diagnosis deserves further evaluation.

Publication types

  • Comparative Study

MeSH terms

  • Bipolar Disorder / classification
  • Bipolar Disorder / diagnosis
  • Bipolar Disorder / psychology
  • China
  • Cross-Cultural Comparison*
  • Depressive Disorder / classification
  • Depressive Disorder / diagnosis
  • Depressive Disorder / psychology
  • Diagnosis, Computer-Assisted / instrumentation*
  • Diagnosis, Computer-Assisted / statistics & numerical data*
  • Humans
  • Mental Disorders / classification
  • Mental Disorders / diagnosis*
  • Mental Disorders / psychology
  • Microcomputers*
  • Models, Theoretical*
  • Observer Variation
  • Psychiatric Status Rating Scales / instrumentation*
  • Psychiatric Status Rating Scales / statistics & numerical data*
  • Psychometrics
  • Reproducibility of Results
  • Schizophrenia / classification
  • Schizophrenia / diagnosis
  • Schizophrenic Psychology