AIMC Topic: Mexico

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Spanish to Mexican Sign Language glosses corpus for natural language processing tasks.

Scientific data Apr 26, 2025
This work shares a dataset that contains Spanish (SPA) to Mexican Sign Language (MSL) glosses -transcripted MSL- pairs of sentences for a downstream task. The methodology used to prepare the shared dataset considered the construction of SPA-to-MSL co...
Natural Language Processing Sign Language Humans Neural Networks, Computer Mexico
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AI-Enabled Screening for Retinopathy of Prematurity in Low-Resource Settings.

JAMA network open Apr 1, 2025
IMPORTANCE: Retinopathy of prematurity (ROP) is the leading cause of preventable childhood blindness worldwide. If detected and treated early, ROP-associated blindness is preventable; however, identifying patients who might respond to treatment requi...
Humans Machine Learning Algorithms Female Argentina Neonatal Screening Retinopathy of Prematurity Mexico Video Recording Infant, Premature Infant, Newborn Male Smartphone
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Formative Research for the Development and Implementation of a Smartphone Application to Report Breaches to the International Code of Marketing of Breast-Milk Substitutes in Mexico.

Maternal & child nutrition Mar 18, 2025
Almost 40 years after the adoption of the International Code of Marketing of Breast-Milk Substitutes ('the Code') in Mexico, noncompliance persists. In other countries, smartphone applications for reporting Code noncompliance have proven effective. T...
Female Adult Smartphone Humans Infant Formula Focus Groups Mobile Applications Marketing Parents Milk Substitutes Mexico
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Tlalpan 2020 Case Study: Enhancing Uric Acid Level Prediction with Machine Learning Regression and Cross-Feature Selection.

Nutrients Mar 17, 2025
Uric acid is a key metabolic byproduct of purine degradation and plays a dual role in human health. At physiological levels, it acts as an antioxidant, protecting against oxidative stress. However, excessive uric acid can lead to hyperuricemia, cont...
Mexico Hyperuricemia Uric Acid Biomarkers Life Style Female Male Humans Risk Factors Middle Aged Machine Learning Cohort Studies Aged Adult
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Social and economic predictors of under-five stunting in Mexico: a comprehensive approach through the XGB model.

Journal of global health Mar 14, 2025
BACKGROUND: The multifaceted issue of childhood stunting in low- and middle-income countries has a profound and enduring impact on children's well-being, cognitive development, and future earning potential. Childhood stunting arises from a complex in...
Infant Growth Disorders Child, Preschool Female Risk Factors Male Nutrition Surveys Socioeconomic Factors Mexico Humans Machine Learning
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Interpretation of COVID-19 Epidemiological Trends in Mexico Through Wastewater Surveillance Using Simple Machine Learning Algorithms for Rapid Decision-Making.

Viruses Jan 15, 2025
Detection and quantification of disease-related biomarkers in wastewater samples, denominated Wastewater-based Surveillance (WBS), has proven a valuable strategy for studying the prevalence of infectious diseases within populations in a time- and res...
Wastewater Algorithms SARS-CoV-2 Risk Assessment Mexico Cluster Analysis Humans Machine Learning COVID-19 Decision Making Wastewater-Based Epidemiological Monitoring
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Multimodal machine learning for analysing multifactorial causes of disease-The case of childhood overweight and obesity in Mexico.

Frontiers in public health Jan 7, 2025
BACKGROUND: Mexico has one of the highest global incidences of paediatric overweight and obesity. Public health interventions have shown only moderate success, possibly from relying on knowledge extracted using limited types of statistical data analy...
Child Male Nutrition Surveys Pediatric Obesity Adolescent Mexico Humans Child, Preschool Overweight Machine Learning Body Mass Index Female
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AQuA-P: A machine learning-based tool for water quality assessment.

Journal of contaminant hydrology Jan 3, 2025
This study addresses the critical challenge of assessing the quality of groundwater and surface water, which are essential resources for various societal needs. The main contribution of this study is the application of machine learning models for eva...
Mexico Software Machine Learning Decision Trees Groundwater Water Quality Environmental Monitoring
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A Genetic algorithm aided hyper parameter optimization based ensemble model for respiratory disease prediction with Explainable AI.

PloS one Dec 2, 2024
In the current era, a lot of research is being done in the domain of disease diagnosis using machine learning. In recent times, one of the deadliest respiratory diseases, COVID-19, which causes serious damage to the lungs has claimed a lot of lives g...
Algorithms SARS-CoV-2 Mexico Humans Machine Learning COVID-19
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Towards sustainable coastal management: aerial imagery and deep learning for high-resolution mapping.

PeerJ Sep 23, 2024
The massive arrival of pelagic on the coasts of several countries of the Atlantic Ocean began in 2011 and to date continues to generate social and environmental challenges for the region. Therefore, knowing the distribution and quantity of in the o...
Sargassum Satellite Imagery Atlantic Ocean Environmental Monitoring Mexico Humans Conservation of Natural Resources Algorithms Bathing Beaches Deep Learning
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