Cargando…
Use of machine learning to identify risk factors for insomnia
IMPORTANCE: Sleep is critical to a person’s physical and mental health, but there are few studies systematically assessing risk factors for sleep disorders. OBJECTIVE: The objective of this study was to identify risk factors for a sleep disorder through machine-learning and assess this methodology....
Autores principales: | Huang, Alexander A., Huang, Samuel Y. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10096447/ https://www.ncbi.nlm.nih.gov/pubmed/37043435 http://dx.doi.org/10.1371/journal.pone.0282622 |
Ejemplares similares
-
Use of machine learning to identify risk factors for coronary artery disease
por: Huang, Alexander A., et al.
Publicado: (2023) -
Application of machine learning to identify risk factors of birth asphyxia
por: Darsareh, Fatemeh, et al.
Publicado: (2023) -
The simplification of the insomnia severity index and epworth sleepiness scale using machine learning models
por: Lee, Woodo, et al.
Publicado: (2023) -
Increasing transparency in machine learning through bootstrap simulation and shapely additive explanations
por: Huang, Alexander A., et al.
Publicado: (2023) -
Identifying Risk Factors for Complicated Post-operative Course in Tetralogy of Fallot Using a Machine Learning Approach
por: Faerber, Jennifer A., et al.
Publicado: (2021)