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Using Visual Patient to Show Vital Sign Predictions, a Computer-Based Mixed Quantitative and Qualitative Simulation Study

Background: Machine learning can analyze vast amounts of data and make predictions for events in the future. Our group created machine learning models for vital sign predictions. To transport the information of these predictions without numbers and numerical values and make them easily usable for hu...

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Huvudupphov: Amos Malorgio, David Henckert, Giovanna Schweiger, Julia Braun, Kai Zacharowski, Florian J. Raimann, Florian Piekarski, Patrick Meybohm, Sebastian Hottenrott, Corinna Froehlich, Donat R. Spahn, Christoph B. Noethiger, David W. Tscholl, Tadzio R. Roche
Materialtyp: Artigo
Språk:Inglês
Utgiven: MDPI AG 2023-10-01
Serie:Diagnostics
Ämnen:
avatar
machine learning
monitoring
predictive models
Visual Patient
vital sign predictions
Länkar:https://www.mdpi.com/2075-4418/13/20/3281
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