A pattern probability model for the classification of psychiatric patients | Zendy

Overall John E. | Zendy; Gorham Donald R. | Zendy

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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.

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