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Related Concept Videos

Anxiety: Overview01:18

Anxiety: Overview

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Anxiety is a common mental disorder featuring excessive worry, fear, and apprehension, significantly affecting daily life. People with anxiety disorders experience persistent and intense anxiety, interrupting their everyday functioning.
Individuals with anxiety often experience a range of physical and emotional symptoms, including sweating, trembling, tachycardia, and disturbances in sleep patterns. These symptoms vary in intensity and frequency but are generally disruptive and distressing.
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Generalized Anxiety Disorder01:30

Generalized Anxiety Disorder

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Generalized Anxiety Disorder (GAD) is a chronic condition characterized by excessive and uncontrollable worry that persists for at least six months, significantly interfering with daily functioning. Unlike situational anxiety, which arises in response to specific stressors, GAD often occurs without a clear cause. Individuals may experience disproportionate worry about work, health, or relationships. For instance, a person might continuously fear poor health despite normal medical evaluations or...
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Social Anxiety Disorder01:28

Social Anxiety Disorder

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Social anxiety disorder, also known as social phobia, is characterized by an intense fear of social situations where one might face humiliation, rejection, embarrassment, or negative evaluation. This disorder leads individuals to avoid activities like casual conversations, public speaking, or seemingly simple tasks such as eating, signing documents, or swimming, in public settings. Its impact extends beyond discomfort, often significantly interfering with daily functioning and quality of life.
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Labeling Emotion01:20

Labeling Emotion

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Emotional labeling is a cognitive process that involves identifying and naming one's emotions, such as anger, fear, happiness, or sadness. It allows individuals to recognize and express their internal emotional states, a critical aspect of emotional regulation and communication. Labeling emotions requires more than mere recognition; it also involves drawing upon memory and contextual cues to understand the current situation and apply a corresponding emotional label. For instance, feeling...
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Related Experiment Video

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Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat
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Accurate Prediction of Anxiety Levels in Asian Countries Using a Fuzzy Expert System.

Mouz Ramzan1, Muhammad Hamid2, Amel Ali Alhussan3

  • 1Department of Computer Science, National College of Business Administration and Economics (NCBA&E), Lahore 54000, Pakistan.

Healthcare (Basel, Switzerland)
|June 10, 2023
PubMed
Summary

This study introduces an expert system using fuzzy inference (FIS) to detect anxiety levels from physical symptoms. The system achieved 87% accuracy, offering a reliable tool for early anxiety disorder detection.

Keywords:
anxietyanxiety predictionfuzzy inference systemfuzzy logic

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Mental Health Technology

Background:

  • Anxiety is a widespread mental health condition with significant physical and psychological impacts.
  • Current diagnostic methods for anxiety can be subjective, highlighting the need for objective tools.
  • Early detection of anxiety is crucial for effective management and treatment.

Purpose of the Study:

  • To develop an objective and reliable expert system for early anxiety level detection.
  • To utilize physical symptoms as input variables for anxiety prediction.
  • To address the inherent complexity and uncertainty in diagnosing anxiety disorders.

Main Methods:

  • Implementation of a fuzzy inference system (FIS) as an expert system.
  • Integration of a comprehensive set of input variables representing physical symptoms.
  • Development of a rule-based system encoding medical knowledge of anxiety disorders.

Main Results:

  • The FIS-based expert system demonstrated high accuracy in predicting anxiety levels.
  • Testing on real-world datasets, including those from Pakistan, yielded a noteworthy accuracy of 87%.
  • The system effectively handles the imprecision and uncertainty associated with anxiety.

Conclusions:

  • The developed FIS-based expert system provides a robust approach for objective anxiety level assessment.
  • This tool can potentially aid clinicians in diagnosing and treating anxiety disorders more effectively.
  • The system offers a promising avenue for improving anxiety disorder management, especially where effective remedies are lacking.