Design for a Digital Twin in Clinical Patient Care

• URL: http://arxiv.org/abs/2505.01206v1
• Date: Fri, 02 May 2025 11:50:42 GMT
• Title: Design for a Digital Twin in Clinical Patient Care
• Authors: Anna-Katharina Nitschke, Carlos Brandl, Fabian Egersdörfer, Magdalena Görtz, Markus Hohenfellner, Matthias Weidemüller,
• Abstract summary: We present a generalizable Digital Twin design combining knowledge graphs and ensemble learning to reflect the entire patient's clinical journey.<n>Such Digital Twins can be predictive, modular, evolving, informed interpretable and explainable with applications ranging from oncology to epidemiology.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Digital Twins hold great potential to personalize clinical patient care, provided the concept is translated to meet specific requirements dictated by established clinical workflows. We present a generalizable Digital Twin design combining knowledge graphs and ensemble learning to reflect the entire patient's clinical journey and assist clinicians in their decision-making. Such Digital Twins can be predictive, modular, evolving, informed, interpretable and explainable with applications ranging from oncology to epidemiology.

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