Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM

arXiv:2403.08818v1 Announce Type: new
Abstract: Electronic Health Records (EHRs) have become increasingly popular to support clinical decision-making and healthcare in recent decades. EHRs usually contain heterogeneous information, such as structural data in tabular form and unstructured data in textual notes. Different types of information in EHRs can complement each other and provide a more complete picture of the health status of a patient. While there has been a lot of research on representation learning of structured EHR data, the fusion …

abstract arxiv become clinical cs.ai cs.cl cs.lg data decision ehr electronic electronic health records form fusion health healthcare hypergraph information llm making multimodal notes popular records semantics support tabular textual type types unstructured unstructured data