Validation of ‘Somnivore’, a Machine Learning Algorithm for Automated Scoring and Analysis of Polysomnography Data

Manual scoring of polysomnography data is labor-intensive and time-consuming, and most existing software does not account for subjective differences and user variability. Therefore, we evaluated a supervised machine learning algorithm, Somnivore(TM), for automated wake–sleep stage classification. We...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Front Neurosci
Main Authors: Allocca, Giancarlo, Ma, Sherie, Martelli, Davide, Cerri, Matteo, Del Vecchio, Flavia, Bastianini, Stefano, Zoccoli, Giovanna, Amici, Roberto, Morairty, Stephen R., Aulsebrook, Anne E., Blackburn, Shaun, Lesku, John A., Rattenborg, Niels C., Vyssotski, Alexei L., Wams, Emma, Porcheret, Kate, Wulff, Katharina, Foster, Russell, Chan, Julia K. M., Nicholas, Christian L., Freestone, Dean R., Johnston, Leigh A., Gundlach, Andrew L.
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2019
Assuntos:
Neuroscience
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6431640/
https://ncbi.nlm.nih.gov/pubmed/30936820
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2019.00207
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados