Cargando…
In search of a composite biomarker for chronic pain by way of EEG and machine learning: where do we currently stand?
Machine learning is becoming an increasingly common component of routine data analyses in clinical research. The past decade in pain research has witnessed great advances in human neuroimaging and machine learning. With each finding, the pain research community takes one step closer to uncovering fu...
Autores principales: | Rockholt, Mika M., Kenefati, George, Doan, Lisa V., Chen, Zhe Sage, Wang, Jing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301750/ https://www.ncbi.nlm.nih.gov/pubmed/37389362 http://dx.doi.org/10.3389/fnins.2023.1186418 |
Ejemplares similares
-
EEG Recordings as Biomarkers of Pain Perception: Where Do We Stand and Where to Go?
por: Zis, Panagiotis, et al.
Publicado: (2022) -
Current Melanoma Treatments: Where Do We Stand?
por: Moreira, Alvaro, et al.
Publicado: (2021) -
Late Sodium Current of the Heart: Where Do We Stand and Where Are We Going?
por: Horváth, Balázs, et al.
Publicado: (2022) -
Where Do We Stand?
Publicado: (1891) -
Anesthesiology and the Difficult Airway – Where Do We Currently Stand?
por: Richtsfeld, Martina, et al.
Publicado: (2017)