5 papers
Censored Flow Matching for Synthetic Time-to-Event Generation
Jianbin Tan, Xingran Chen, Kevin He +3
Generating time-to-event data is increasingly important in survival analysis, but it remains statistically challenging because event times are often censored and thus prevent flexi…
Smooth Flow Matching for Synthesizing Functional Data
Jianbin Tan, Anru R. Zhang
Functional data, i.e., random functions observed over a continuous domain, are increasingly available in areas such as biomedical research, health informatics, and epidemiology. Ho…
Integrated Analysis for Electronic Health Records with Structured and Sporadic Missingness
Jianbin Tan, Yan Zhang, Chuan Hong +3
Objectives: We propose a novel imputation method tailored for Electronic Health Records (EHRs) with structured and sporadic missingness. Such missingness frequently arises in the i…
Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm
Jingyang Li, T. Tony Cai, Dong Xia +1
Federated Learning (FL) has gained significant recent attention in machine learning for its enhanced privacy and data security, making it indispensable in fields such as healthcare…
Soft Phenotyping for Sepsis via EHR Time-aware Soft Clustering
Shiyi Jiang, Xin Gai, Miriam Treggiari +4
Objective: Sepsis is one of the most serious hospital conditions associated with high mortality. Sepsis is the result of a dysregulated immune response to infection that can lead t…