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Updated: Oct 8, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[Prevalence of neurocognitive disorders in a rural area of Argentina]
Matías Jonás García1, Ana Comesaña2
1IPSIBAT - Conicet. matiasjonasg@gmail.com.
Aim:
To carry out a cognitive screening to detect cases of Neurocognitive Disorders (NCD) 60 and over years adults and estimate its prevalence in the eastern area of Tucumán.
Methods:
A neuropsychological assessment was carried out. Groups were formed according to the presence and severity of NCD.
Results:
257 subjects participated in the study (X = 69.9 years, SD = 7.2; 60.7% of female gender). The prevalence of neurocognitive disorders was estimated at 51.17% with 90% confidence and a precision (d) of 4%.
Main Conclusion:
The prevalence exceeded the estimation for Argentina. From the tests it was observed that the lower the educational level and the older the age, the risk of developing neurocognitive disorders would increase. This work demonstrated the ability to develop large-scale epidemiological studies in public health, articulating the activity of the different healthcare centers, given the lack of studies about the matter in our country.
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