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Updated: May 6, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Can the DSM-5 framework enhance the diagnosis of MCI?
1From the Departments of Psychiatry and Neurology, School of Medicine, and Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, PA.
Abstract:
As the field of mild cognitive impairment moves forward and various expert groups come together to update the diagnostic criteria, the framework adopted by the DSM-5 deserves consideration as a model. This framework could help disentangle cause from consequence, maximize internal consistency, and minimize redundancy and ambiguity. It could make the diagnostic criteria easier for both clinicians and researchers to implement, thus enhancing reliability of diagnosis. It could help maintain conceptual rigor by distinguishing among core diagnostic features (inclusion as well as exclusion criteria), subtypes, specifiers, associated features, and risk factors. Each level of classification, subtyping, and specification should delineate an increasingly homogeneous subgroup with an enhanced likelihood of having common underpinnings and prognosis. New knowledge could be systematically incorporated into this framework. This approach could improve the predictive value and thus the utility of the overall diagnosis.
Insights
The Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) framework offers a model for refining mild cognitive impairment (MCI) diagnostic criteria. This structured approach enhances diagnostic consistency, clarity, and clinical utility for researchers and practitioners.
Area of Science:
- Neurology
- Psychiatry
- Clinical Diagnostics
Background:
- The field of mild cognitive impairment (MCI) is evolving with ongoing efforts to update diagnostic criteria.
- Existing diagnostic frameworks may present challenges in consistency, redundancy, and ambiguity.
Purpose of the Study:
- To propose the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) framework as a model for updating MCI diagnostic criteria.
- To enhance the clarity, consistency, and clinical utility of MCI diagnoses.
Main Methods:
- Conceptual analysis of the DSM-5 framework's application to MCI diagnosis.
- Evaluation of how the DSM-5 framework can improve diagnostic rigor and reliability.
Main Results:
- The DSM-5 framework can help differentiate causes from consequences in MCI.
- It promotes internal consistency, reduces ambiguity, and enhances diagnostic reliability for clinicians and researchers.
- The framework supports distinguishing core features, subtypes, specifiers, and risk factors for more homogeneous subgroups.
Conclusions:
- Adopting a DSM-5-like framework for MCI can improve conceptual rigor and diagnostic utility.
- Systematic incorporation of new knowledge into such a framework can enhance predictive value.
- This approach facilitates the development of more precise and clinically useful MCI diagnostic criteria.
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