97 citations
- Mayo Clinic in FloridaUS4 papers
- Mayo Clinic in ArizonaUS3 papers
- WinnMedUS3 papers
- Arizona State UniversityUS2 papers
- Emory UniversityUS2 papers
- University of Illinois Urbana-ChampaignUS2 papers
- Academy of AthensGR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Corcoran College of Art and DesignUS1 paper
- Czech Academy of SciencesCZ1 paper
- European Organization for Nuclear ResearchCH1 paper
- FZU ‒ Institute of Physics of the Academy of Sciences of the Czech RepublicCZ1 paper
4 papers · 1 filter
AZT1D: A Real-World Dataset for Type 1 Diabetes
Saman Khamesian, Asiful Arefeen, Bithika M. Thompson +2
High quality real world datasets are essential for advancing data driven approaches in type 1 diabetes (T1D) management, including personalized therapy design, digital twin systems…
LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation
Xinrui He, Yikun Ban, Jiaru Zou +3
Missing data imputation is a critical challenge in various domains, such as healthcare and finance, where data completeness is vital for accurate analysis. Large language models (L…
Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission
Siyi Tang, Amara Tariq, Jared Dunnmon +5
Measures to predict 30-day readmission are considered an important quality factor for hospitals as accurate predictions can reduce the overall cost of care by identifying high risk…
Multi-facet Contextual Bandits: A Neural Network Perspective
Yikun Ban, Jingrui He, Curtiss B. Cook
Contextual multi-armed bandit has shown to be an effective tool in recommender systems. In this paper, we study a novel problem of multi-facet bandits involving a group of bandits,…