Medical action ontology

Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper "Learning to Receive Help: Intervention-Aware Concept Embedding Models"

Why And What If: Causal Inference for Everyone

The codebase for Inducing Causal Structure for Interpretable Neural Networks

DataCurator enables you to map and understand complex systems before helping you plan, communicate and navigate successful interventions in them.

Analysis and predictions about student success in online learning

Global Health Policy Simulation model (Health-GPS)

CausalFlow: Causal Discovery Methods with Observational and Interventional Data from Time-series

Adoption and impact of non-pharmaceutical interventions for COVID-19

The action tracker is a management tool that helps improve effective coverage of priority interventions at district and community level, covering various interventions such as maternal, newborn, and child health (MNCH), HIV, and nutrition.

[WWW 2023] Official code release for "Dynamic Interventions for Networked Contagions"

This robotic interactive system, TIAGoGPT is an MSc research project on "Exploring the Potentials of LLMs in TIAGo Robot-Assisted Interventions to Support Children with Social Skill Difficulties". The project implements cutting-edge technologies to revolutionise the field of child support. We employed state-of-the-art large language models in robot

This code is written for study "The Interaction between Population Age Structure and Policy Interventions on the Spread of COVID-19"

biology / medicine / health papers organized in markdown files

Master thesis for the MSc. Artificial Intelligence at the Universiteit van Amsterdam, 2019