Using Fuzzy C-means Clustering Algorithm to Diagnose the Severity of Anxiety

Using Fuzzy C-means Clustering Algorithm to Diagnose the Severity of Anxiety

Introduction: Diagnosing anxiety in the early stages by psychiatrists is one of the important steps in preventing and controlling these types of disorders. This study endeavors to present a method to diagnose the severity of anxiety using fuzzy C-means clustering (FCM) algorithm. Moreover, the influ...

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Bibliographic Details
Main Authors: Fereshteh Parsapour, Javid Peymani, Mohammad Khanbabaei
Format: Article
Language:fas
Published: Vesnu Publications 2020-08-01
Series:مدیریت اطلاعات سلامت
Subjects:
cluster analysis
fuzzy logic
anxiety
Online Access:http://him.mui.ac.ir/index.php/him/article/view/4139

Internet

http://him.mui.ac.ir/index.php/him/article/view/4139

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