Predictive Modeling with Temporal Graphical Representation on Electronic Health Records

arXiv:2405.03943v1 Announce Type: new
Abstract: Deep learning-based predictive models, leveraging Electronic Health Records (EHR), are receiving increasing attention in healthcare. An effective representation of a patient's EHR should hierarchically encompass both the temporal relationships between historical visits and medical events, and the inherent structural information within these elements. Existing patient representation methods can be roughly categorized into sequential representation and graphical representation. The sequential representation methods focus only on the temporal relationships among longitudinal visits. On the other hand, the …

abstract arxiv attention cs.ai cs.lg deep learning ehr electronic electronic health records events health healthcare information medical modeling patient predictive predictive modeling predictive models records relationships representation temporal type