6 papers
Learning Sequential Decisions from Multiple Sources via Group-Robust Markov Decision Processes
Mingyuan Xu, Zongqi Xia, Tianxi Cai +2
We often collect data from multiple sites (e.g., hospitals) that share common structure but also exhibit heterogeneity. This paper aims to learn robust sequential decision-making p…
Automated Hierarchical Graph Construction for Multi-source Electronic Health Records
Yinjie Wang, Doudou Zhou, Yue Liu +2
Electronic Health Records (EHRs), comprising diverse clinical data such as diagnoses, medications, and laboratory results, hold great promise for translational research. EHR-derive…
A Common Pipeline for Harmonizing Electronic Health Record Data for Translational Research
Jessica Gronsbell, Vidul Ayakulangara Panickan, Doudou Zhou +11
Despite the growing availability of Electronic Health Record (EHR) data, researchers often face substantial barriers in effectively using these data for translational research due…
Latent Factor Point Processes for Patient Representation in Electronic Health Records
Parker Knight, Doudou Zhou, Zongqi Xia +2
Electronic health records (EHR) contain valuable longitudinal patient-level information, yet most statistical methods reduce the irregular timing of EHR codes into simple counts, t…
Time-Aware Attention for Enhanced Electronic Health Records Modeling
Junhan Yu, Zhunyi Feng, Junwei Lu +2
Electronic Health Records (EHR) contain valuable clinical information for predicting patient outcomes and guiding healthcare decisions. However, effectively modeling Electronic Hea…
Wasserstein Transfer Learning
Kaicheng Zhang, Sinian Zhang, Doudou Zhou +1
Transfer learning is a powerful paradigm for leveraging knowledge from source domains to enhance learning in a target domain. However, traditional transfer learning approaches ofte…