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Updated: May 12, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Validation of a screening tool for developmental problems in children 60-71 months in Mexico
María S Rodríguez-Trejo1, Antonio Rizzoli-Córdoba1, Laura A Hernández-Trejo2
1Servicio de Pediatría del Desarrollo y la Conducta, Hospital Infantil de México Federico Gómez.
Background:
Early childhood is a critical period for child development. The Child Development Evaluation Test (EDI in Spanish), developed and validated in Mexico, is a screening tool for developmental problems in children from 1 month to 4 years and 11 months.
Objective:
To validate group 15 of the EDI test for children aged 60-71 months, comparing sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) using the Battelle Developmental Inventory 2nd edition (BDI-2) in Spanish as the gold standard.
Methods:
A cross-sectional analytic study with 46 children aged 60-71 months was conducted at the Hospital Infantil de México Federico Gómez. Children were evaluated using group 15 of the EDI test and BDI-2. The sample was non-probabilistic by convenience. Diagnostic metrics and comparisons were performed globally and in the developmental domain.
Results:
The sensitivity and specificity of group 15 for the EDI test were 93.8% (95% confidence interval [CI]: 81.8%-100%) and 73.3% (95%CI: 57.5%-89.1%), respectively. The PPV was 65.2%, and the NPV 95.5%. The highest percentage of false negatives was in the cognitive domain, followed by the adaptive domain.
Conclusion:
In this first study, group 15 of the EDI test shows high sensitivity and NPV, allowing early detection in an age group previously not covered, thus facilitating interventions in this group.

