Latest Articles for Intervention

A method to balance observation and intervention for effective decision-making.

Explore different methods in causal modeling and their significance for research.

A look at how superdeterminism challenges accepted physics principles.

Assessing the accuracy of neuron explanations in language models reveals significant flaws.

Examining epidemic models using frequentist methods for better public health interventions.

Investigating nutrition's impact on children's cognitive and emotional health in Bangladesh.

A look into interventions for controlling disease outbreaks and their effects.

This review assesses mathematical models used in maternal health interventions in sub-Saharan Africa.

Understanding the impact of HIV and Zika co-infection on global health.

This study enhances antenatal education to support women during labor and birth.

Loimos simulates disease spread in communities for better outbreak management.

Explore how interpretability illusions affect our view of neural networks.

AI offers personalized help for lasting behavior change, aiding goal achievement.

This article examines how causality influences choices and outcomes in decision-making.

New methods combine causal discovery and reinforcement learning for better insights.

A review of interventions to promote better eating habits and reduce waste.

Introducing a framework to improve efficiency and accuracy in language model reasoning.

This article reviews the effectiveness of four causal discovery methods in complex data.

Learn how causal graphs reveal dependencies between variables.

A new algorithm targets cannabis use among young adults through personalized interventions.

Examining the impact of care coordination on patient experiences.

Examining the role of psychosocial support in cancer patients' quality of life.

A new system uses AI to help reduce excessive smartphone usage.

Exploring the role of social robots in enhancing sleep quality and health.

New method enhances participant retention in public health interventions.

Introducing parametric causal factor graphs for improved decision-making strategies.

A look at how past experiences and brain activity influence behavior.

Research focuses on effective interventions to prevent childhood obesity.

A study assesses methods to lower opioid prescriptions for chronic pain patients.

Study analyzes methods to reduce TB cases in the U.S. and improve health outcomes.

Introducing CAGE, a method that incorporates causality for clearer AI explanations.

This study explores strategies for managing outbreaks with a focus on vaccination impact.

This article reviews the performance of language models in public health data analysis.

A look into causal relationships and their importance in various fields.

The study evaluates a suicide prevention program in schools across Northwest England.

CAASL helps researchers quickly identify causal relationships in various fields.

A detailed look at effectively measuring diverse outcomes in social initiatives.

Innovative strategies for maximizing rewards in decision-making environments.

Examining how structural changes can improve fairness in mortgage loan approvals.

Learn how a new model addresses customer churn and enhances retention strategies.