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A pattern probability model for the classification of psychiatric patients
Author(s) -
Overall John E.,
Gorham Donald R.
Publication year - 2007
Publication title -
behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 0005-7940
DOI - 10.1002/bs.3830080203
Subject(s) - psychiatry , value (mathematics) , psychiatric diagnosis , psychology , medicine , computer science , machine learning , schizophrenia (object oriented programming)
The frequent lack of agreement among psychiatrists as t o the correct diagnosis for a particular patient may be due to the present lack of standard, accurate diagnostic categories. We still do not have a precise, objective procedure for evaluation and diagnosis of psychiatric patients. Not only would this be of great value in itself, but it is a prerequisite for adequate evaluation of the present psychiatric nomenclature. This paper describes a n approach to developing such a system.