Physics-Informed Neural Networks for Modeling Physiological Time Series: A Case Study with Continuous Blood Pressure

The bold vision of AI-driven pervasive physiological monitoring, through the proliferation of off-the-shelf wearables that began a decade ago, has created immense opportunities to extract actionable information for precision medicine. These AI algorithms model the input-output relationships of a sys...

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Detalles Bibliográficos
Autores principales: Sel, Kaan, Mohammadi, Amirmohammad, Pettigrew, Roderic I., Jafari, Roozbeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882661/
https://www.ncbi.nlm.nih.gov/pubmed/36711741
http://dx.doi.org/10.21203/rs.3.rs-2423200/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882661/
https://www.ncbi.nlm.nih.gov/pubmed/36711741
http://dx.doi.org/10.21203/rs.3.rs-2423200/v1

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