A visual analytics approach for pattern-recognition in patient-generated data

OBJECTIVE: To develop and test a visual analytics tool to help clinicians identify systematic and clinically meaningful patterns in patient-generated data (PGD) while decreasing perceived information overload. METHODS: Participatory design was used to develop Glucolyzer, an interactive tool featurin...

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Detalles Bibliográficos
Autores principales: Feller, Daniel J, Burgermaster, Marissa, Levine, Matthew E, Smaldone, Arlene, Davidson, Patricia G, Albers, David J, Mamykina, Lena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6188507/
https://www.ncbi.nlm.nih.gov/pubmed/29905826
http://dx.doi.org/10.1093/jamia/ocy054

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6188507/
https://www.ncbi.nlm.nih.gov/pubmed/29905826
http://dx.doi.org/10.1093/jamia/ocy054

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