Image de couverture de livre

Detecting Structural Heart Disease from Electrocardiograms via a Generalized Additive Model of Interpretable Foundation-Model Predictors

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhou, Ya, Sun, Zhaohong, Hao, Tianxiang, Li, Xiangjie
Format:	Preprint
Publié:	2026
Sujets:	Applications Artificial Intelligence Machine Learning Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Multi-scale Masked Autoencoder for Electrocardiogram Anomaly Detection
par: Zhou, Ya, et autres
Publié: (2025)

iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models
par: Chen, Tianyu, et autres
Publié: (2023)

Latency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length
par: Xu, Zhiyu, et autres
Publié: (2025)

ConfHit: Conformal Generative Design with Oracle Free Guarantees
par: Laghuvarapu, Siddhartha, et autres
Publié: (2026)

Estimating Item Difficulty with Large Language Models as Experts
par: Kolesnikova, Diana, et autres
Publié: (2026)

Diffusion Boosted Trees
par: Han, Xizewen, et autres
Publié: (2024)

Language Models as Causal Effect Generators
par: Bynum, Lucius E. J., et autres
Publié: (2024)

Tackling Copyright Issues in AI Image Generation Through Originality Estimation and Genericization
par: Chiba-Okabe, Hiroaki, et autres
Publié: (2024)

Super-Level-Set Regression: Conditional Quantiles via Volume Minimization
par: Braun, Sacha, et autres
Publié: (2026)

Bridging the Unavoidable A Priori: A Framework for Comparative Causal Modeling
par: Hovmand, Peter S., et autres
Publié: (2025)

Removing Spurious Correlation from Neural Network Interpretations
par: Fotouhi, Milad, et autres
Publié: (2024)

Masked Transformer for Electrocardiogram Classification
par: Zhou, Ya, et autres
Publié: (2023)

Cross-Domain Offshore Wind Power Forecasting: Transfer Learning Through Meteorological Clusters
par: Weisser, Dominic, et autres
Publié: (2026)

An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes
par: Plecko, Drago, et autres
Publié: (2025)

Scalable Spatiotemporal Prediction with Bayesian Neural Fields
par: Saad, Feras, et autres
Publié: (2024)

Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer
par: Shirakawa, Toru, et autres
Publié: (2024)

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

Causal Graph Recovery in Neuroimaging through Answer Set Programming
par: Abavisani, Mohammadsajad, et autres
Publié: (2025)

Fairboard: a quantitative framework for equity assessment of healthcare models
par: Ruffle, James K., et autres
Publié: (2026)

Bridging Performance Gaps for ECG Foundation Models: A Post-Training Strategy
par: Zhou, Ya, et autres
Publié: (2025)

Detecting low left ventricular ejection fraction from ECG using an interpretable and scalable predictor-driven framework
par: Zhou, Ya, et autres
Publié: (2026)

Changepoint Detection As Model Selection: A General Framework
par: Grantham, Michael, et autres
Publié: (2026)

Do Large Language Models (Really) Need Statistical Foundations?
par: Su, Weijie
Publié: (2025)

Additive Covariance Matrix Models: Modelling Regional Electricity Net-Demand in Great Britain
par: Gioia, V., et autres
Publié: (2022)

Efficient Generative Modeling via Penalized Optimal Transport Network
par: Lu, Wenhui Sophia, et autres
Publié: (2024)

Joint Models for Handling Non-Ignorable Missing Data using Bayesian Additive Regression Trees: Application to Leaf Photosynthetic Traits Data
par: Goh, Yong Chen, et autres
Publié: (2024)

Auditing Fairness by Betting
par: Chugg, Ben, et autres
Publié: (2023)

Forecasting time series with constraints
par: Doumèche, Nathan, et autres
Publié: (2025)

LLM-based Agents for Automated Confounder Discovery and Subgroup Analysis in Causal Inference
par: Lee, Po-Han, et autres
Publié: (2025)

Generating Synthetic Relational Tabular Data via Structural Causal Models
par: Hoppe, Frederik, et autres
Publié: (2025)

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation
par: Song, Xinran, et autres
Publié: (2025)

Towards Interpretable Deep Generative Models via Causal Representation Learning
par: Moran, Gemma E., et autres
Publié: (2025)

Targeted Maximum Likelihood Estimation for Integral Projection Models in Population Ecology
par: Zhou, Yunzhe, et autres
Publié: (2024)

A Distribution-Free Framework for Rewrite-Based Human-text Detection via Knockoff Filtering
par: Liu, Yi
Publié: (2026)

Estimating Treatment Effect under Additive Hazards Models with High-dimensional Covariates
par: Hou, Jue, et autres
Publié: (2019)

TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure
par: Zhang, Zhiyue, et autres
Publié: (2024)

Safe and Interpretable Estimation of Optimal Treatment Regimes
par: Parikh, Harsh, et autres
Publié: (2023)

Structured Learning in Time-dependent Cox Models
par: Wang, Guanbo, et autres
Publié: (2023)

Adaptive Meta-Learning Stochastic Gradient Hamiltonian Monte Carlo Simulation for Bayesian Updating of Structural Dynamic Models
par: Meng, Xianghao, et autres
Publié: (2026)

An Optimal House Price Prediction Algorithm: XGBoost
par: Sharma, Hemlata, et autres
Publié: (2024)