| Literature DB >> 23866997 |
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.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