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...

Descripción completa

Detalles Bibliográficos
Autores principales: Malorgio, Amos, Henckert, David, Schweiger, Giovanna, Braun, Julia, Zacharowski, Kai, Raimann, Florian J., Piekarski, Florian, Meybohm, Patrick, Hottenrott, Sebastian, Froehlich, Corinna, Spahn, Donat R., Noethiger, Christoph B., Tscholl, David W., Roche, Tadzio R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606017/
https://www.ncbi.nlm.nih.gov/pubmed/37892102
http://dx.doi.org/10.3390/diagnostics13203281

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606017/
https://www.ncbi.nlm.nih.gov/pubmed/37892102
http://dx.doi.org/10.3390/diagnostics13203281

Ejemplares similares