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Updated: Aug 30, 2026
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[Suggestions for utilization of the mini-mental state examination in Brazil]
Sonia M D Brucki1, Ricardo Nitrini, Paulo Caramelli
1Departamento de Clínica Neurológica, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, Botucatu, SP, Brasil. sbrucki@uol.com.br
Unlabelled:
Mini-metal state examination (MMSE) is a screening test to detect cognitive impairment. The objectives of the present study are to describe some adaptations for use of MMSE in Brazil and to propose rules for its uniform application.
Method:
We evaluated 433 healthy subjects using the MMSE and verified the possible influence of demographic variables on total scores.
Results:
Educational level was the main factor that influenced performance, demonstrated by ANOVA: F(4,425) = 100.45, p<0.0001. The median values for educational groups were: 20 for illiterates; 25 for 1 to 4 yrs; 26.5 for 5 to 8 yrs; 28 for 9 to 11 yrs and 29 for higher levels.
Conclusion:
The MMSE is an excellent screening instrument and definitive rules are necessary for comparison purposes.
