Phenotype-Based and Self-Learning Inter-Individual Sleep Apnea Screening With a Level IV-Like Monitoring System

Purpose: We propose a phenotype-based artificial intelligence system that can self-learn and is accurate for screening purposes and test it on a Level IV-like monitoring system. Methods: Based on the physiological knowledge, we hypothesize that the phenotype information will allow us to find subject...

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Detalles Bibliográficos
Autores principales: Wu, Hau-Tieng, Wu, Jhao-Cheng, Huang, Po-Chiun, Lin, Ting-Yu, Wang, Tsai-Yu, Huang, Yuan-Hao, Lo, Yu-Lun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6036126/
https://www.ncbi.nlm.nih.gov/pubmed/30013479
http://dx.doi.org/10.3389/fphys.2018.00723

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6036126/
https://www.ncbi.nlm.nih.gov/pubmed/30013479
http://dx.doi.org/10.3389/fphys.2018.00723

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