Categorization of major depression in an outpatient sample.

  title={Categorization of major depression in an outpatient sample.},
  author={Nick Haslam and A. T. Beck},
  journal={The Journal of nervous and mental disease},
  volume={181 12},
Intake Beck Depression Inventory (BDI) item scores of 400 outpatient major depressives were submitted to a categorization algorithm developed for artificial intelligence applications. The algorithm maximizes a function of "category utility" that is preferable in several respects to available clustering methods, and has demonstrated its capacity to locate the most informative, or "basic," level of categorization. The analysis yielded four syndromal subtypes: a common, general depressive type; a… CONTINUE READING