Cargando…
Identification and Classification of Parkinsonian and Essential Tremors for Diagnosis Using Machine Learning Algorithms
Due to overlapping tremor features, the medical diagnosis of Parkinson’s disease (PD) and essential tremor (ET) mainly relies on the clinical experience of doctors, which often leads to misdiagnosis. Seven predictive models using machine learning algorithms including random forest (RF), eXtreme Grad...
Autores principales: | Xing, Xupo, Luo, Ningdi, Li, Shun, Zhou, Liche, Song, Chengli, Liu, Jun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8978337/ https://www.ncbi.nlm.nih.gov/pubmed/35386595 http://dx.doi.org/10.3389/fnins.2022.701632 |
Ejemplares similares
-
The nature of tremor circuits in parkinsonian and essential tremor
por: Cagnan, Hayriye, et al.
Publicado: (2014) -
Increasing Serotonin to Reduce Parkinsonian Tremor
por: Caligiore, Daniele, et al.
Publicado: (2021) -
Combined brain network topological metrics with machine learning algorithms to identify essential tremor
por: Li, Qin, et al.
Publicado: (2022) -
Different Dopaminergic Dysfunctions Underlying Parkinsonian Akinesia and Tremor
por: Caligiore, Daniele, et al.
Publicado: (2019) -
Pharmacological and Physiological Characterization of the Tremulous Jaw Movement Model of Parkinsonian Tremor: Potential Insights into the Pathophysiology of Tremor
por: Collins-Praino, Lyndsey E., et al.
Publicado: (2011)