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

作者：Gan Yiqun; Kakiashvili Tamar; Koczkodaj Waldemar W^*; Li Feng

来源：Computer Methods and Programs in Biomedicine, 2013, 112(1): 16-21.

DOI：10.1016/j.cmpb.2013.05.016

• Scale
• Relevance
• Cluster analysis
• Machine learning
• Unsupervised learning

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.

• 出版日期2013-10
• 单位北京大学