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Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study

Early identification of patients with life-threatening risks such as delirium is crucial in order to initiate preventive actions as quickly as possible. Despite intense research on machine learning for the prediction of clinical outcomes, the acceptance of the integration of such complex models in c...

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Detalles Bibliográficos
Autores principales: Jauk, Stefanie, Kramer, Diether, Avian, Alexander, Berghold, Andrea, Leodolter, Werner, Schulz, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921052/
https://www.ncbi.nlm.nih.gov/pubmed/33646459
http://dx.doi.org/10.1007/s10916-021-01727-6