Analyzing Patient Trajectories With Artificial Intelligence

In digital medicine, patient data typically record health events over time (eg, through electronic health records, wearables, or other sensing technologies) and thus form unique patient trajectories. Patient trajectories are highly predictive of the future course of diseases and therefore facilitate...

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Detalles Bibliográficos
Autores principales: Allam, Ahmed, Feuerriegel, Stefan, Rebhan, Michael, Krauthammer, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Viewpoint
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8686456/
https://www.ncbi.nlm.nih.gov/pubmed/34870606
http://dx.doi.org/10.2196/29812

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8686456/
https://www.ncbi.nlm.nih.gov/pubmed/34870606
http://dx.doi.org/10.2196/29812

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