AIMC Topic: Mexico

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Development of an artificial neural network (ANN) for the prediction of a pilot scale mobile wastewater treatment plant performance.

Journal of environmental management Jul 5, 2024
Productive activities such as pig farming are a fundamental part of the economy in Mexico. Unfortunately, because of this activity, large quantities of wastewater are generated that have a negative impact in the environment. This work shows an altern...
Neural Networks, Computer Wastewater Mexico Oxidation-Reduction Iron Biological Oxygen Demand Analysis Water Purification Animals Hydrogen Peroxide Waste Disposal, Fluid
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Exploring the intersection of obesity and gender in COVID-19 outcomes in hospitalized Mexican patients: a comparative analysis of risk profiles using unsupervised machine learning.

Frontiers in public health Apr 18, 2024
INTRODUCTION: Obesity and gender play a critical role in shaping the outcomes of COVID-19 disease. These two factors have a dynamic relationship with each other, as well as other risk factors, which hinders interpretation of how they influence severi...
SARS-CoV-2 Risk Factors Hospitalization Aged Humans COVID-19 Female Cluster Analysis Obesity Unsupervised Machine Learning Sex Factors Adult Male Middle Aged Mexico
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Predicting the conversion from clinically isolated syndrome to multiple sclerosis: An explainable machine learning approach.

Multiple sclerosis and related disorders Apr 9, 2024
INTRODUCTION: Predicting the conversion of clinically isolated syndrome (CIS) to clinically definite multiple sclerosis (CDMS) is critical to personalizing treatment planning and benefits for patients. The aim of this study is to develop an explainab...
Humans Machine Learning Female Adult Male Middle Aged Disease Progression Multiple Sclerosis Demyelinating Diseases Mexico Follow-Up Studies Magnetic Resonance Imaging
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Parallel prediction of dengue cases with different risks in Mexico using an artificial neural network model considering meteorological data.

International journal of biometeorology Mar 8, 2024
In 2022, Mexico registered an increase in dengue cases compared to the previous year. On the other hand, the amount of precipitation reported annually was slightly less than the previous year. Similarly, the minimum-mean-maximum temperatures recorded...
Mexico Humans Weather Neural Networks, Computer Risk Temperature Dengue
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Evaluation of height prediction models: from traditional methods to artificial intelligence.

Pediatric research Sep 21, 2023
BACKGROUND: Traditional methods for predicting adult height (AHP) rely on manual readings of bone age (BA). However, the incorporation of artificial intelligence has recently improved the accuracy of BA readings and their incorporation into AHP model...
Adult Cross-Sectional Studies Male Child Mexico Body Height Age Determination by Skeleton Humans Artificial Intelligence Female
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Prediction of daily mean and one-hour maximum PM concentrations and applications in Central Mexico using satellite-based machine-learning models.

Journal of exposure science & environmental epidemiology Sep 10, 2022
BACKGROUND: Machine-learning algorithms are becoming popular techniques to predict ambient air PM concentrations at high spatial resolutions (1 × 1 km) using satellite-based aerosol optical depth (AOD). Most machine-learning models have aimed to pred...
Meteorology Humans Machine Learning Mexico
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Current forecast of COVID-19 in Mexico: A Bayesian and machine learning approaches.

PloS one Jan 21, 2022
The COVID-19 pandemic has been widely spread and affected millions of people and caused hundreds of deaths worldwide, especially in patients with comorbilities and COVID-19. This manuscript aims to present models to predict, firstly, the number of co...
Humans Machine Learning Mexico Obesity Models, Statistical Bayes Theorem Survival Analysis Datasets as Topic Comorbidity Contact Tracing Incidence Outpatients Hypertension Diabetes Mellitus COVID-19 SARS-CoV-2 Hospitalization
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An ontology network for Diabetes Mellitus in Mexico.

Journal of biomedical semantics Oct 9, 2021
BACKGROUND: Medical experts in the domain of Diabetes Mellitus (DM) acquire specific knowledge from diabetic patients through monitoring and interaction. This allows them to know the disease and information about other conditions or comorbidities, tr...
Humans Systematized Nomenclature of Medicine Biological Ontologies Diabetes Mellitus Mexico Natural Language Processing
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A Machine Learning Model for Evaluating Imported Disease Screening Strategies in Immigrant Populations.

The American journal of tropical medicine and hygiene Sep 20, 2021
Given the high prevalence of imported diseases in immigrant populations, it has postulated the need to establish screening programs that allow their early diagnosis and treatment. We present a mathematical model based on machine learning methodologie...
Child Models, Theoretical Mexico Mass Screening Africa Adolescent Child, Preschool Asia South America Central America Communicable Diseases, Imported Early Diagnosis Young Adult Spain Adult Female Emigrants and Immigrants Cross-Sectional Studies Male Infant, Newborn Humans Middle Aged Aged Machine Learning Infant Aged, 80 and over Retrospective Studies Prevalence
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Microplanning for designing vaccination campaigns in low-resource settings: A geospatial artificial intelligence-based framework.

Vaccine Sep 15, 2021
Existing campaign-based healthcare delivery programs used for immunization often fall short of established health coverage targets due to a lack of accurate estimates for population size and location. A microplan, an integrated set of detailed planni...
Mexico Argentina Immunization Programs Humans Artificial Intelligence Health Promotion
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