Potential Confounders in the Analysis of Brazilian Adolescent’s Health: A Combination of Machine Learning and Graph Theory

International Journal of Environmental Research and Public Health - Switzerland
doi 10.3390/ijerph17010090
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MDPI AG

Related search

Network-Based Machine Learning and Graph Theory Algorithms for Precision Oncology

npj Precision Oncology
2017English

Graph Embedded Extreme Learning Machine

IEEE Transactions on Cybernetics
ControlSystems EngineeringInformation SystemsHuman-Computer InteractionElectronic EngineeringComputer Science ApplicationsElectricalSoftware
2016English

Argumentation Theory for Decision Support in Health-Care: A Comparison With Machine Learning

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2013English

Development of a Machine Learning Potential for Graphene

Physical Review B
OpticalElectronicCondensed Matter PhysicsMagnetic Materials
2018English

Enhanced Night Vision via a Combination of Poisson Interpolation and Machine Learning

2006English

Scaffolding Based on Problems in Graph Theory Learning

International Journal of Trends in Mathematics Education Research
2019English

Malnutrition, Health and the Role of Machine Learning in Clinical Setting

Frontiers in Nutrition
NutritionDieteticsFood ScienceEndocrinologyMetabolismDiabetes
2020English

Feature Extraction and Machine Learning for the Classification of Brazilian Savannah Pollen Grains

PLoS ONE
Multidisciplinary
2016English

Combination Forecasts of Tourism Demand With Machine Learning Models

Applied Economics Letters
EconomicsEconometrics
2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy