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Related Concept Videos

Diagnostic and Statistical Manual of Mental Disorders (DSM)01:27

Diagnostic and Statistical Manual of Mental Disorders (DSM)

The Diagnostic and Statistical Manual of Mental Disorders (DSM) serves as the primary classification system for mental health disorders, providing standardized diagnostic criteria for clinicians and researchers. First published by the American Psychiatric Association (APA) in 1952, the DSM has undergone several revisions to reflect evolving psychiatric understanding. The fifth edition, DSM-5, released in 2013, introduced key updates that expanded diagnostic categories and modified diagnostic...
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Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by persistent inattention, hyperactivity, and impulsivity. It affects approximately 5-8% of children globally, with around 60-70% of cases persisting into adulthood. ADHD has significant implications for educational attainment, social interactions, and occupational success.
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Updated: May 10, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Hierarchical screening for multiple mental disorders.

Philip J Batterham1, Alison L Calear, Matthew Sunderland

  • 1Centre for Mental Health Research, The Australian National University, Canberra, Australian Capital Territory, Australia. philip.batterham@anu.edu.au

Journal of Affective Disorders
|June 29, 2013
PubMed
Summary
This summary is machine-generated.

A new two-stage hierarchical screening method efficiently identifies multiple mental disorders. This approach reduces the number of questions asked without compromising accuracy, making mental health assessments more streamlined.

Keywords:
Anxiety disordersDepressionScreening

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Last Updated: May 10, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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Published on: January 11, 2020

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07:31

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Published on: May 15, 2020

Area of Science:

  • Psychiatry
  • Psychological Assessment
  • Mental Health Screening

Background:

  • Accurate and brief screening for multiple mental disorders is crucial.
  • Two-stage hierarchical screening offers potential efficiency gains.
  • This study evaluated hierarchical screening against traditional methods.

Purpose of the Study:

  • To determine if two-stage hierarchical screening is more efficient than administering multiple separate mental disorder tests.
  • To assess the precision of hierarchical screening methods for common mental disorders.

Main Methods:

  • Examined four hierarchical screening methods in two Australian adult samples (N=1990).
  • Recruited participants with high psychopathology rates via Facebook advertising.
  • Focused on screening for major depressive disorder, generalized anxiety disorder, panic disorder, and social phobia.

Main Results:

  • Pre-screening using decision trees or item gating significantly reduced the number of items presented (up to 54% reduction).
  • Using K6 scores for full screening did not improve efficiency.
  • Hierarchical methods achieved near 100% sensitivity compared to full screening batteries.

Conclusions:

  • A two-phase hierarchical screening approach enhances efficiency and maintains accuracy for multiple mental disorders.
  • Prescreeners utilizing gating items or decision trees should be incorporated into screening programs.
  • Further validation in diverse clinical settings and populations is recommended.