4 papers
A Machine-Learned Comorbidity Index
Suleman Baloch, Kishlay Jha, Alberto M. Segre +2
Traditional comorbidity scores (e.g., Charlson and Elixhauser) are widely used for risk adjustment and patient stratification, but they have two key limitations: (i) they are large…
Implicit Hypergraph Neural Network
Akash Choudhuri, Yongjian Zhong, Bijaya Adhikari
Hypergraphs offer a generalized framework for capturing high-order relationships between entities and have been widely applied in various domains, including healthcare, social netw…
Efficient and Effective Implicit Dynamic Graph Neural Network
Yongjian Zhong, Hieu Vu, Tianbao Yang +1
Implicit graph neural networks have gained popularity in recent years as they capture long-range dependencies while improving predictive performance in static graphs. Despite the t…
Dynamic Healthcare Embeddings for Improving Patient Care
Hankyu Jang, Sulyun Lee, D. M. Hasibul Hasan +3
As hospitals move towards automating and integrating their computing systems, more fine-grained hospital operations data are becoming available. These data include hospital archite…