Cover Image

Dynamic Classification of Latent Disease Progression with Auxiliary Surrogate Labels

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cai, Zexi, Zeng, Donglin, Marder, Karen S., Honig, Lawrence S., Wang, Yuanjia
Format:	Preprint
Published:	2024
Subjects:	Methodology Applications Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning Experiments
by: Guo, Xingche, et al.
Published: (2024)

Fusing Individualized Treatment Rules Using Secondary Outcomes
by: Gao, Daiqi, et al.
Published: (2024)

Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes
by: Xu, Tianchen, et al.
Published: (2023)

Integrative learning of individualized treatment rules from multiple studies with partially overlapping treatments
by: Bian, Yuan, et al.
Published: (2026)

Gaussian Copula Models for Nonignorable Missing Data Using Auxiliary Marginal Quantiles
by: Feldman, Joseph, et al.
Published: (2024)

Causal Judge Evaluation: Calibrated Surrogate Metrics for LLM Systems
by: Landesberg, Eddie, et al.
Published: (2025)

Salvaging Forbidden Treasure in Medical Data: Utilizing Surrogate Outcomes and Single Records for Rare Event Modeling
by: Yin, Xiaohui, et al.
Published: (2025)

Assumption-Lean Post-Integrated Inference with Surrogate Control Outcomes
by: Du, Jin-Hong, et al.
Published: (2024)

Group-Aware Matrix Estimation and Latent Subspace Recovery
by: Golubovic, Hamza, et al.
Published: (2026)

Robust Estimation under Outcome Dependent Right Censoring in Huntington Disease: Estimators for Low and High Censoring Rates
by: Vazquez, Jesus E., et al.
Published: (2025)

Generative Bayesian Computation as a Scalable Alternative to Gaussian Process Surrogates
by: Polson, Nick, et al.
Published: (2026)

Efficient Synthetic Network Generation via Latent Embedding Reconstruction
by: Jiang, Feifan, et al.
Published: (2026)

Optimal Sampling for Generalized Linear Model under Measurement Constraint with Surrogate Variables
by: Shen, Yixin, et al.
Published: (2025)

TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure
by: Zhang, Zhiyue, et al.
Published: (2024)

Cumulative Marginal Mean Model for Assessing Sequential Effects Using Digital Health Data
by: Guo, Xingche, et al.
Published: (2025)

On the Role of Surrogates in Conformal Inference of Individual Causal Effects
by: Gao, Chenyin, et al.
Published: (2024)

A Bayesian Classification Trees Approach to Treatment Effect Variation with Noncompliance
by: Fisher, Jared D., et al.
Published: (2024)

Bayesian Federated Cause-of-Death Classification and Quantification Under Distribution Shift
by: Zhu, Yu, et al.
Published: (2025)

Spatially Robust Inference with Predicted and Missing at Random Labels
by: Salerno, Stephen, et al.
Published: (2026)

Integrative Learning of Dynamically Evolving Multiplex Graphs and Nodal Attributes Using Neural Network Gaussian Processes with an Application to Dynamic Terrorism Graphs
by: Rodriguez-Acosta, Jose, et al.
Published: (2026)

Normalizing Flow to Augmented Posterior: Conditional Density Estimation with Interpretable Dimension Reduction for High Dimensional Data
by: Zeng, Cheng, et al.
Published: (2025)

Adaptive Selection of the Optimal Strategy to Improve Precision and Power in Randomized Trials
by: Balzer, Laura B., et al.
Published: (2022)

Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
by: Saxena, Manan, et al.
Published: (2024)

Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
by: Du, Jin-Hong, et al.
Published: (2024)

Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift
by: Zhang, Yi, et al.
Published: (2025)

Adaptive Meta-Learning Stochastic Gradient Hamiltonian Monte Carlo Simulation for Bayesian Updating of Structural Dynamic Models
by: Meng, Xianghao, et al.
Published: (2026)

Adversarial Drift-Aware Predictive Transfer: Toward Durable Clinical AI
by: Xiong, Xin, et al.
Published: (2026)

Integrated Analysis for Electronic Health Records with Structured and Sporadic Missingness
by: Tan, Jianbin, et al.
Published: (2025)

Inductive Global and Local Manifold Approximation and Projection
by: Kim, Jungeum, et al.
Published: (2024)

Binary AddiVortes: (Bayesian) Additive Voronoi Tessellations for Binary Classification with an application to Predicting Home Mortgage Application Outcomes
by: Stone, Adam J., et al.
Published: (2025)

Robust non-parametric mortality and fertility modelling and forecasting: Gaussian process regression approaches
by: Lam, Ka Kin, et al.
Published: (2021)

Multipopulation mortality modelling and forecasting: The multivariate functional principal component with time weightings approaches
by: Lam, Ka Kin, et al.
Published: (2021)

Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulators
by: Wang, Xinming, et al.
Published: (2024)

Hierarchical Count Echo State Network Models with Application to Graduate Student Enrollments
by: Wang, Qi, et al.
Published: (2025)

Depth-Based Local Center Clustering: A Framework for Handling Different Clustering Scenarios
by: Wang, Siyi, et al.
Published: (2025)

Approximate Maximum Likelihood Inference for Acoustic Spatial Capture-Recapture with Unknown Identities, Using Monte Carlo Expectation Maximization
by: Wang, Yuheng, et al.
Published: (2024)

Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data
by: Chen, Jianmin, et al.
Published: (2022)

Fast Uncertainty Quantification for Kernel-Based Estimators in Large-Scale Causal Inference
by: Kosko, Matthew, et al.
Published: (2026)

Establishing the Parallels and Differences Between Right-Censored and Missing Covariates
by: Vazquez, Jesus E., et al.
Published: (2024)

Generative Flexible Latent Structure Regression (GFLSR) model
by: Grazian, Clara, et al.
Published: (2025)