Cargando…
Big data in sleep medicine: prospects and pitfalls in phenotyping
Clinical polysomnography (PSG) databases are a rich resource in the era of “big data” analytics. We explore the uses and potential pitfalls of clinical data mining of PSG using statistical principles and analysis of clinical data from our sleep center. We performed retrospective analysis of self-rep...
Autores principales: | Bianchi, Matt T, Russo, Kathryn, Gabbidon, Harriett, Smith, Tiaundra, Goparaju, Balaji, Westover, M Brandon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5317347/ https://www.ncbi.nlm.nih.gov/pubmed/28243157 http://dx.doi.org/10.2147/NSS.S130141 |
Ejemplares similares
-
Alternative remedies for insomnia: a proposed method for personalized therapeutic trials
por: Romero, Kate, et al.
Publicado: (2017) -
Consumer sleep monitors: is there a baby in the bathwater?
por: Russo, Kathryn, et al.
Publicado: (2015) -
Expert-level sleep scoring with deep neural networks
por: Biswal, Siddharth, et al.
Publicado: (2018) -
Heart rate phenotypes and clinical correlates in a large cohort of adults without sleep apnea
por: Huang, Zhaoyang, et al.
Publicado: (2018) -
Big Data and Biodefense: Prospects and Pitfalls
por: Vogel, Kathleen M.
Publicado: (2019)