Coupling Neural Networks Between Clusters for Better Personalized Care

Kraus M, Hambauer N, Müller K, Kröckel P, Ulapane N, De Caigny A, De Bock K, Coussement K (2024)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2024

Pages Range: 3627 - 3636

Conference Proceedings Title: Proceedings of the 57th Hawaii International Conference on System Sciences

Open Access Link: https://hdl.handle.net/10125/106821

Abstract

Personalized healthcare powered by machine learning (ML) is at the forefront of modern medicine, promising to optimize treatment outcomes, reduce adverse effects, and improve patient satisfaction. However, simple ML models generally lack the complexity to accurately model individual characteristics, while powerful ML models require large amounts of data, which are often unavailable in the healthcare domain. We address this problem with cluster-level personalization. In this method, similar patients are grouped into clusters and a local ML model is trained for each cluster. Since the amount of patient data to train ML models naturally decreases for each cluster, we introduce a novel objective function called "coupling" that allows information to be shared between clusters, so that smaller clusters can also benefit from information from larger clusters, thereby improving patient outcome prediction. Our method provides a compromise between a single global model for all patients and completely independent local cluster models. We show that coupling leads to statistically significant improvements on a simulated and a real-world dataset in the context of diabetes.

Authors with CRIS profile

Mathias Kraus Juniorprofessur für Data Analytics Nico Hambauer Juniorprofessur für Data Analytics Kristina Müller Department of Data Science Pavlina Kröckel Lehrstuhl für Wirtschaftsinformatik, insbesondere im Dienstleistungsbereich

How to cite

APA:

Kraus, M., Hambauer, N., Müller, K., Kröckel, P., Ulapane, N., De Caigny, A.,... Coussement, K. (2024). Coupling Neural Networks Between Clusters for Better Personalized Care. In Proceedings of the 57th Hawaii International Conference on System Sciences (pp. 3627 - 3636).

MLA:

Kraus, Mathias, et al. "Coupling Neural Networks Between Clusters for Better Personalized Care." Proceedings of the Proceedings of the 57th Hawaii International Conference on System Sciences 2024. 3627 - 3636.

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