@inproceedings{04836076703644fc9bc4a97db2457991,
title = "A Novel Application of a Mutual Information Measure for Analysing Temporal Changes in Healthcare Network Graphs",
abstract = "We have previously demonstrated that network graphs generated using patient administrative data can represent health services functional structures through which hospital inpatient care is delivered. However, hospitals have to respond to changes in the external environment within which they function. These changes affect the network graphs and can be captured with a sequence of graphs of the same system over time. We developed a novel method for measuring temporal changes in healthcare network graphs based on the concept of mutual information, modified to allow for modest variations in node identities. The method is straightforward to apply, and we demonstrate its efficacy in a series of monthly snapshots of the functional structures in two hospitals.",
keywords = "Healthcare Services Provision, Modularity, Mutual Information, Network Graphs, Patient Flow",
author = "David Ben-Tovim and Mariusz Bajger and Shaowen Qin",
year = "2023",
doi = "10.1007/978-3-031-46671-7_7",
language = "English",
isbn = "978-3-031-46670-0",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "92--102",
editor = "Xiaochun Yang and Heru Suhartanto and Guoren Wang and Bin Wang and Jing Jiang and Bing Li and Huaijie Zhu and Ningning Cui",
booktitle = "Advanced Data Mining and Applications - 19th International Conference, ADMA 2023, Proceedings",
note = "19th International Conference on Advanced Data Mining and Applications, ADMA 2023 ; Conference date: 21-08-2023 Through 23-08-2023",
}