Physics-driven Spatiotemporal Regularization for High-dimensional Predictive Modeling: A Novel Approach to Solve the Inverse ECG Problem

This paper presents a novel physics-driven spatiotemporal regularization (STRE) method for high-dimensional predictive modeling in complex healthcare systems. This model not only captures the physics-based interrelationship between time-varying explanatory and response variables that are distributed...

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Detalles Bibliográficos
Autores principales: Yao, Bing, Yang, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5155286/
https://www.ncbi.nlm.nih.gov/pubmed/27966576
http://dx.doi.org/10.1038/srep39012

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5155286/
https://www.ncbi.nlm.nih.gov/pubmed/27966576
http://dx.doi.org/10.1038/srep39012

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