Name
Title | ||
|---|---|---|
A note on relevance of diagnostic classification and rating scales used in psychiatry. |
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.cmpb.2013.05.016 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
machine learning,cluster analysis,double cluster analysis,subjective interpretation,unsupervised learning,present study,proposed scale,scale,diagnostic classification,behavioral description,particular disorder,scale relevance,diagnostic decision-making process,clinical practice,new method,rating scale,relevance | Data set,Computer science,Subjectivity,Clinical Practice,Diagnostic classification,Rating scale,Unsupervised learning,Psychiatry | Journal |
Volume | Issue | ISSN |
112 | 1 | 1872-7565 |
Citations | PageRank | References |
2 | 0.39 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yiqun Gan | 1 | 2 | 1.07 |
| Tamar Kakiashvili | 2 | 11 | 2.72 |
| Waldemar W. Koczkodaj | 3 | 628 | 100.50 |
| Feng Li | 4 | 2 | 0.73 |