Literature DB >> 23866997

A note on relevance of diagnostic classification and rating scales used in psychiatry.

Yiqun Gan1, Tamar Kakiashvili, Waldemar W Koczkodaj, Feng Li.   

Abstract

In the clinical practice of psychology and psychiatry, presence or absence of particular disorder or syndromes is based on the subjective interpretation of mental and behavioral descriptions offered by the patient. This is often done by questionnaires (also called instruments or scales) or by interviews. This subjectivity of the diagnostic decision-making process may limit the reliability of diagnosis. In the present study, a new method of scale relevance, based on double cluster analysis, is proposed as it is important to verify what we are trying to find with the proposed scale. If two data sets cluster differently, we must consider them as different.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cluster analysis; Machine learning; Relevance; Scale; Unsupervised learning

Mesh:

Year:  2013        PMID: 23866997     DOI: 10.1016/j.cmpb.2013.05.016

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  1 in total

1.  How to reduce the number of rating scale items without predictability loss?

Authors:  W W Koczkodaj; T Kakiashvili; A Szymańska; J Montero-Marin; R Araya; J Garcia-Campayo; K Rutkowski; D Strzałka
Journal:  Scientometrics       Date:  2017-02-16       Impact factor: 3.238

  1 in total

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