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Updated: Aug 4, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[Validation of the S-IQCODE: the Spanish version of the informant questionnaire on cognitive decline in the elderly]
J M Morales González1, J I González-Montalvo, T Del Ser Quijano
1Hospital 12 de Octubre, Madrid.
Abstract:
Although in the last decade the screening test of dementia have improved, is still being of interest the study of simple methods with a most sensitivity and specificity in the detection of the cognitive decline. Jorm et al have used recently a questionnaire (IQCODE) by which a subject's relative informs of the decline suffered by this in his cognitive capacity. In this work is showed a spanish adaptation of this test, the spanish-IQCODE, analysing it's usefulness for the detection of mild dementia. The S-IQCODE shows a diagnostic validity (sensitivity of 86%, specificity of 92%, positive predictive value of 54% and negative predictive value of 98%) greater than Mini-Mental State Examination (MMSE); it also shows a correlation with the diagnostic of dementia greater (r = 0.70 vs r = 0.37); and, different from MMSE, it doesn't show significative correlations with the age, the schooling and the premorbid intelligence. The results in this study show the S-IQCODE as a good test for the detection of the mild dementia, of greater diagnostic power than the MMSE and less contaminated than this by strange variables to the cognitive decline.
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