Health Intervention

Health interventions, encompassing a broad range of strategies to improve health outcomes, are increasingly leveraging digital technologies and data-driven approaches. Current research focuses on developing and evaluating personalized interventions using machine learning algorithms, such as reinforcement learning and Thompson sampling, often within mobile health (mHealth) platforms. These efforts aim to enhance engagement and efficacy by tailoring interventions to individual needs and contexts, addressing challenges like missing data and imbalanced datasets through techniques like imputation and causal inference. The ultimate goal is to improve the effectiveness and reach of health interventions, leading to better health outcomes and more efficient resource allocation.

Papers

November 8, 2023

Learning Linear Gaussian Polytree Models with Interventions
D. Tramontano, L. Waldmann, M. Drton, E. Duarte
Causal Structure Health Intervention Interventional Data Equivalence Class

October 23, 2023

Improving Seq2Seq Grammatical Error Correction via Decoding Interventions
Houquan Zhou, Yumeng Liu, Zhenghua Li, Min Zhang, Bo Zhang, Chen Li, Ji Zhang, Fei Huang
Grammatical Error Correction Health Intervention

October 6, 2023

Interventions Against Machine-Assisted Statistical Discrimination
John Y. Zhu
Machine Learning Health Intervention Manufacturable Design Equal Treatment

August 26, 2023

HoloPOCUS: Portable Mixed-Reality 3D Ultrasound Tracking, Reconstruction and Overlay
Kian Wei Ng, Yujia Gao, Shaheryar Mohammed Furqan, Zachery Yeo, Joel Lau, Kee Yuan Ngiam, Eng Tat Khoo
Multi Layer Full State Reconstruction Imaging Technique Health Intervention Ultrasound Image Reconstruction 2 Dimensional Ultrasound

June 13, 2023

Show me the numbers! -- Student-facing Interventions in Adaptive Learning Environments for German Spelling
Nathalie Rzepka, Katharina Simbeck, Hans-Georg Mueller, Marlene Bueltemann, Niels Pinkwart
Numerical Data Adaptive Learning Health Intervention Learning Platform

June 4, 2023

Learning Linear Causal Representations from Interventions under General Nonlinear Mixing
Simon Buchholz, Goutham Rajendran, Elan Rosenfeld, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar
Latent Variable Causal Representation Learning Health Intervention Global Mixing Causal Identifiability

March 18, 2023

The Power of Nudging: Exploring Three Interventions for Metacognitive Skills Instruction across Intelligent Tutoring Systems
Mark Abdelshiheed, John Wesley Hostetter, Preya Shabrina, Tiffany Barnes, Min Chi
Real Power Intelligent Tutoring System Health Intervention Cognitive Capability Human Tutor Digital Algorithmic Nudging Reasoning Domain Single Strategy

March 3, 2023

Synthetic Data Generator for Adaptive Interventions in Global Health
Aditya Rastogi, Juan Francisco Garamendi, Ana Fernández del Río, Anna Guitart, Moiz Hassan Khan, Dexian Tang, África Periáñez
Medical Domain Mobile Health Health Intervention Synthetic Data Generator Adaptive Intervention Digital Healthcare

January 19, 2023

Score-based Causal Representation Learning with Interventions
Burak Varici, Emre Acarturk, Karthikeyan Shanmugam, Abhishek Kumar, Ali Tajer
Latent Variable Causal Representation Learning Latent Causal Health Intervention

December 30, 2022

UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions
Asterios Bampakis, Sofia Yfantidou, Athena Vakali
End to End Data Driven Health Intervention Interventional Data Self Tracking

December 21, 2022

Analyzing Semantic Faithfulness of Language Models via Input Intervention on Question Answering
Akshay Chaturvedi, Swarnadeep Bhar, Soumadeep Saha, Utpal Garain, Nicholas Asher
Language Model Question Answering Transformer Based Language Model Negation Detection Health Intervention Semantic Fidelity Ethical NaTural Language

December 20, 2022

To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering
Dheeru Dua, Emma Strubell, Sameer Singh, Pat Verga
Domain Adaptation Technical Challenge Domain Shift Open Domain Question Answering Health Intervention Open Domain Question Manual Annotation Answer Prediction Text Benchmark

November 29, 2022

Linear Causal Disentanglement via Interventions
Chandler Squires, Anna Seigal, Salil Bhate, Caroline Uhler
Latent Variable Causal Model Latent Causal Health Intervention Causal Disentanglement Latent Linear

November 7, 2022

Federated Causal Discovery From Interventions
Amin Abyaneh, Nino Scherrer, Patrick Schwab, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou
Causal Discovery Causal Structure Heterogeneous Treatment Effect Causal Discovery Method Health Intervention Federated Causal

October 11, 2022

October 7, 2022

Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems
Parikshit Bansal, Yashoteja Prabhu, Emre Kiciman, Amit Sharma
Distribution Generalization Recommendation Task Health Intervention Item Based Collaborative Filtering Item Relevance Text Aware Causal Interventional Regularizer

August 22, 2022

Learning Invariant Representations under General Interventions on the Response
Kang Du, Yu Xiang
Structural Causal Model Invariant Representation Alpha Invariance Non Negative Textual Response Health Intervention Model Invariance Response Pair

June 22, 2022

Variational Causal Dynamics: Discovering Modular World Models from Interventions
Anson Lei, Bernhard Schölkopf, Ingmar Posner
Variational Inference Causal Discovery World Model Health Intervention Causal Graphical Model Variational Causal Latent World Model

April 21, 2022

Scalable Sensitivity and Uncertainty Analysis for Causal-Effect Estimates of Continuous-Valued Interventions
Andrew Jesson, Alyson Douglas, Peter Manshausen, Maëlys Solal, Nicolai Meinshausen, Philip Stier, Yarin Gal, Uri Shalit
Uncertainty Estimation Causal Effect Health Intervention Sensitivity Aware Dose Response Valued Treatment Marginal Sensitivity Model

Health Intervention

Papers

Learning Linear Gaussian Polytree Models with Interventions

Improving Seq2Seq Grammatical Error Correction via Decoding Interventions

Interventions Against Machine-Assisted Statistical Discrimination

HoloPOCUS: Portable Mixed-Reality 3D Ultrasound Tracking, Reconstruction and Overlay

Show me the numbers! -- Student-facing Interventions in Adaptive Learning Environments for German Spelling

Learning Linear Causal Representations from Interventions under General Nonlinear Mixing

The Power of Nudging: Exploring Three Interventions for Metacognitive Skills Instruction across Intelligent Tutoring Systems

Synthetic Data Generator for Adaptive Interventions in Global Health

Score-based Causal Representation Learning with Interventions

UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions

Analyzing Semantic Faithfulness of Language Models via Input Intervention on Question Answering

To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering

Linear Causal Disentanglement via Interventions

Federated Causal Discovery From Interventions

Finding and Listing Front-door Adjustment Sets

Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders

Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems

Learning Invariant Representations under General Interventions on the Response

Variational Causal Dynamics: Discovering Modular World Models from Interventions

Scalable Sensitivity and Uncertainty Analysis for Causal-Effect Estimates of Continuous-Valued Interventions