An Intelligent Clinical Psychological Assessment Method Based on AHP-LSSVR Model

Clinical psychology is a branch of applied psychology. Clinical psychology has a clear understanding of individual behavior ability and behavior characteristics through psychological measurement analysis, observation, and other methods and combines the situation learned from individual psychosomatic...

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Veröffentlicht in:Computational intelligence and neuroscience Jg. 2022; S. 1 - 11
Hauptverfasser: Su, Junli, Wang, Dongyang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Hindawi 30.03.2022
John Wiley & Sons, Inc
Schlagworte:
Algorithms
Analytic hierarchy process
Autistic children
Behavior
Civil service
Clinical psychology
Eye movements
Health education
Learning
Life history
Mental health care
Personality
Personality traits
Prisoners
Psychological assessment
Psychology
Quality assessment
Quality standards
Statistical analysis
Support vector machines
Visualization
ISSN:1687-5265, 1687-5273, 1687-5273
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Zusammenfassung:Clinical psychology is a branch of applied psychology. Clinical psychology has a clear understanding of individual behavior ability and behavior characteristics through psychological measurement analysis, observation, and other methods and combines the situation learned from individual psychosomatic diagnosis and life history with the observation and analysis of individual living conditions. Psychological quality and its evaluation methods have been widely used in many fields, which has greatly promoted the development of this field. However, the current assessment methods are mainly based on a simple statistical analysis, and the results are not accurate. To this end, this article proposes the analytic hierarchy process (AHP) and least-squares support vector regression algorithm (LSSVR). Specifically, through the construction of the specific object’s psychological quality evaluation index system, the design and implementation of the psychological quality evaluation model based on AHP-LSSVR and the proposed method were discussed in the experiment.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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Academic Editor: Shahid Mumtaz
ISSN:1687-5265
1687-5273
1687-5273
DOI:10.1155/2022/7584675