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ITEE seminar: Prof Joachim Diederich, 02.00PM, Thu 14 Aug 2003

Ex-Ray: Text classification and machine learning for the assessment of mental health

Speaker: Prof Joachim Diederich, ITEE

When: 02.00PM, Thursday 14 Aug 2003

Venue: 78-420

Host: Ralf Muhlberger

Abstract:

  Machine learning techniques such as support vector machines,
  decision tree learners and neural networks are applied to a text
  classification task to determine mental health problems. Inputs are
  transcribed speech samples from a "structured-narrative task" and
  outputs are psychiatric categories such as schizophrenia. In a
  preliminary trial, subjects from three groups generated speech
  samples: those with clinically diagnosed schizophrenia (31
  patients), clinically diagnosed mania (16 patients) and controls (9
  subjects). Even though the structured narrative task resulted in the
  use of a limited vocabulary by all subjects (only a total of 1100
  different words were used), a classification performance of close to
  80% accuracy (SVMs), 88% precision and 82% recall (decision tree
  learners) was achieved for the schizophrenia vs. control task. It is
  expected that results improve further in experiments utilising
  free-speech samples.

Biography:

(biography unavailable)

Type:

DKE Seminar

Contact:

Ralf Muhlberger, seminar host (ralf@itee.uq.edu.au)
or Guido Governatori (ITEE seminar co-ordinator) (guido@itee.uq.edu.au)

ITEE seminar web page: http://www.itee.uq.edu.au/~seminar

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