Cargando…
Identifying Critical States of Complex Diseases by Single-Sample Jensen-Shannon Divergence
MOTIVATION: The evolution of complex diseases can be modeled as a time-dependent nonlinear dynamic system, and its progression can be divided into three states, i.e., the normal state, the pre-disease state and the disease state. The sudden deterioration of the disease can be regarded as the state t...
Autores principales: | Yan, Jinling, Li, Peiluan, Gao, Rong, Li, Ying, Chen, Luonan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8212786/ https://www.ncbi.nlm.nih.gov/pubmed/34150649 http://dx.doi.org/10.3389/fonc.2021.684781 |
Ejemplares similares
-
On a Generalization of the Jensen–Shannon Divergence and the Jensen–Shannon Centroid
por: Nielsen, Frank
Publicado: (2020) -
Fault Detection Based on Multi-Dimensional KDE and Jensen–Shannon Divergence
por: Wei, Juhui, et al.
Publicado: (2021) -
Learning geometric Jensen-Shannon divergence for tiny object detection in remote sensing images
por: Ni, Shuyan, et al.
Publicado: (2023) -
Granger Causality and Jensen–Shannon Divergence to Determine Dominant Atrial Area in Atrial Fibrillation
por: Cervigón, Raquel, et al.
Publicado: (2018) -
On the Jensen–Shannon Symmetrization of Distances Relying on Abstract Means
por: Nielsen, Frank
Publicado: (2019)