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Updated: Aug 23, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Improved brief assessment of cognition in aging and dementia
R Lindeboom1, B Schmand, R Holman
1Department of Clinical Epidemiology and Biostatistics, J2-212, Academic Medical Center, PO Box 22660, 1100 DD Amsterdam, The Netherlands. r.lindeboom@amc.uva.nl
Abstract:
To enhance the score interpretation and practicality of the Cambridge Cognitive Examination (CAMCOG) neuropsychological test, the authors used item response theory (IRT) to calibrate the difficulty of the items using the scores of 797 subjects. Forty-seven items fitted the IRT model. Score agreement with equally difficult short forms was excellent. The practicality and interpretability of the CAMCOG was improved, while the diagnostic accuracy of the short forms was similar to that of the original 60-item instrument.
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