Discrimination of indoor versus outdoor environmental state with machine learning algorithms in myopia observational studies

BACKGROUND: Wearable smart watches provide large amount of real-time data on the environmental state of the users and are useful to determine risk factors for onset and progression of myopia. We aim to evaluate the efficacy of machine learning algorithm in differentiating indoor and outdoor location...

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Detalles Bibliográficos
Autores principales: Ye, Bin, Liu, Kangping, Cao, Siting, Sankaridurg, Padmaja, Li, Wayne, Luan, Mengli, Zhang, Bo, Zhu, Jianfeng, Zou, Haidong, Xu, Xun, He, Xiangui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6751881/
https://www.ncbi.nlm.nih.gov/pubmed/31533735
http://dx.doi.org/10.1186/s12967-019-2057-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6751881/
https://www.ncbi.nlm.nih.gov/pubmed/31533735
http://dx.doi.org/10.1186/s12967-019-2057-2

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