Image de couverture de livre

Age-Dependent Heterogeneity in the Association Between Physical Activity and Mental Distress: A Causal Machine Learning Analysis of 3.2 Million U.S. Adults

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Shan, Yuan
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Applications
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Predicting VBAC Outcomes from U.S. Natality Data using Deep and Classical Machine Learning Models
par: Anand, Ananya
Publié: (2025)

ROC Analysis with Covariate Adjustment Using Neural Network Models: Evaluating the Role of Age in the Physical Activity-Mortality Association
par: Hammouri, Ziad Akram Ali, et autres
Publié: (2025)

Spatially-Heterogeneous Causal Bayesian Networks for Seismic Multi-Hazard Estimation: A Variational Approach with Gaussian Processes and Normalizing Flows
par: Li, Xuechun, et autres
Publié: (2025)

Human Limits in Machine Learning: Prediction of Plant Phenotypes Using Soil Microbiome Data
par: Aghdam, Rosa, et autres
Publié: (2023)

Causal Machine Learning for Surgical Interventions
par: Tamo, J. Ben, et autres
Publié: (2025)

SLEM: Machine Learning for Path Modeling and Causal Inference with Super Learner Equation Modeling
par: Vowels, Matthew J.
Publié: (2023)

Bridging the Gap Between Climate Science and Machine Learning in Climate Model Emulation
par: Schmidt, Luca, et autres
Publié: (2026)

Causal Inference with Double/Debiased Machine Learning for Evaluating the Health Effects of Multiple Mismeasured Pollutants
par: Xu, Gang, et autres
Publié: (2024)

Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
par: Du, Jin-Hong, et autres
Publié: (2024)

Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data
par: Aouar, Lynda, et autres
Publié: (2024)

Intelligent Diagnosis of Alzheimer's Disease Based on Machine Learning
par: Li, Mingyang, et autres
Publié: (2024)

Precision Physical Activity Prescription via Reinforcement Learning for Functional Actions
par: Lin, Gefei, et autres
Publié: (2026)

Optimal Transport for Latent Integration with An Application to Heterogeneous Neuronal Activity Data
par: Yuan, Yubai, et autres
Publié: (2024)

Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
par: Imai, Kosuke, et autres
Publié: (2022)

A Causal Machine Learning Framework for Treatment Personalization in Clinical Trials: Application to Ulcerative Colitis
par: Minoccheri, Cristian, et autres
Publié: (2026)

A Comprehensive Analysis of Churn Prediction in Telecommunications Using Machine Learning
par: Chen, Xuhang, et autres
Publié: (2025)

Double Machine Learning at Scale to Predict Causal Impact of Customer Actions
par: More, Sushant, et autres
Publié: (2024)

Dynamic Topic Language Model on Heterogeneous Children's Mental Health Clinical Notes
par: Ye, Hanwen, et autres
Publié: (2023)

Learning Causal Response Representations through Direct Effect Analysis
par: Durand, Homer, et autres
Publié: (2025)

Efficient Causal Structure Learning via Modular Subgraph Integration
par: Sun, Haixiang, et autres
Publié: (2026)

Simulation-based Benchmarking for Causal Structure Learning in Gene Perturbation Experiments
par: Kovačević, Luka, et autres
Publié: (2024)

Causal Feature Learning in the Social Sciences
par: Huang, Jingzhou, et autres
Publié: (2025)

Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models
par: Seidi, Navid, et autres
Publié: (2024)

Establishing Nationwide Power System Vulnerability Index across US Counties Using Interpretable Machine Learning
par: Ma, Junwei, et autres
Publié: (2024)

A Unified Combination Framework for Dependent Tests with Applications to Microbiome Association Studies
par: Yu, Xiufan, et autres
Publié: (2024)

Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots
par: Xin, Xi, et autres
Publié: (2024)

Prediction of Respiratory Syncytial Virus-Associated Hospitalizations Using Machine Learning Models Based on Environmental Data
par: Guo, Eric
Publié: (2025)

Causal Fairness for Survival Analysis
par: Plecko, Drago
Publié: (2026)

Learning from Two Decades of Blood Pressure Data: Demography-Specific Patterns Across 75 Million Patient Encounters
par: Mousavi, Seyedeh Somayyeh, et autres
Publié: (2024)

Bayesian Hybrid Machine Learning of Gallstone Risk
par: Chakraborty, Chitradipa, et autres
Publié: (2025)

Curious Causality-Seeking Agents Learn Meta Causal World
par: Zhao, Zhiyu, et autres
Publié: (2025)

Statistical Machine Learning for Astronomy -- A Textbook
par: Ting, Yuan-Sen
Publié: (2025)

Weather-Related Crash Risk Forecasting: A Deep Learning Approach for Heterogenous Spatiotemporal Data
par: Ogungbire, Abimbola, et autres
Publié: (2026)

A Comprehensive Approach to Carbon Dioxide Emission Analysis in High Human Development Index Countries using Statistical and Machine Learning Techniques
par: Khosravi, Hamed, et autres
Publié: (2024)

Monitoring Machine Learning Forecasts for Platform Data Streams
par: Rombouts, Jeroen, et autres
Publié: (2024)

A Bayesian Framework for Causal Analysis of Recurrent Events with Timing Misalignment
par: Oganisian, Arman, et autres
Publié: (2023)

Time-Varying Home Field Advantage in Football: Learning from a Non-Stationary Causal Process
par: Qi, Minhao, et autres
Publié: (2025)

Learning Bayesian Networks with Heterogeneous Agronomic Data Sets via Mixed-Effect Models and Hierarchical Clustering
par: Valleggi, Lorenzo, et autres
Publié: (2023)

Functional Analysis of Variance for Association Studies
par: Vsevolozhskaya, Olga A., et autres
Publié: (2025)

Sample Efficient Bayesian Learning of Causal Graphs from Interventions
par: Zhou, Zihan, et autres
Publié: (2024)