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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Detalles Bibliográficos

Principais autores:	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
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2023-10-01
Series:	Diagnostics
Assuntos:	avatar machine learning monitoring predictive models Visual Patient vital sign predictions
Acceso en liña:	https://www.mdpi.com/2075-4418/13/20/3281
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