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Discrimination of indoor versus outdoor environmental state with machine learning algorithms in myopia observational studies.
Ye, Bin; Liu, Kangping; Cao, Siting; Sankaridurg, Padmaja; Li, Wayne; Luan, Mengli; Zhang, Bo; Zhu, Jianfeng; Zou, Haidong; Xu, Xun; He, Xiangui.
Afiliación
  • Ye B; Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China.
  • Liu K; Department of Preventative Ophthalmology, Shanghai Eye Disease Prevention and Treatment Center, Shanghai Eye Hospital, Shanghai, China.
  • Cao S; Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, China.
  • Sankaridurg P; Department of Preventative Ophthalmology, Shanghai Eye Disease Prevention and Treatment Center, Shanghai Eye Hospital, Shanghai, China.
  • Li W; Brien Holden Vision Institute, Sydney, NSW, Australia.
  • Luan M; School of Optometry and Vision Science, University of New South Wales, Sydney, NSW, Australia.
  • Zhang B; Brien Holden Vision Institute, Sydney, NSW, Australia.
  • Zhu J; Department of Preventative Ophthalmology, Shanghai Eye Disease Prevention and Treatment Center, Shanghai Eye Hospital, Shanghai, China.
  • Zou H; Department of Preventative Ophthalmology, Shanghai Eye Disease Prevention and Treatment Center, Shanghai Eye Hospital, Shanghai, China.
  • Xu X; Department of Preventative Ophthalmology, Shanghai Eye Disease Prevention and Treatment Center, Shanghai Eye Hospital, Shanghai, China.
  • He X; Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China.
J Transl Med ; 17(1): 314, 2019 09 18.
Article en En | MEDLINE | ID: mdl-31533735
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Ambiente / Aprendizaje Automático / Miopía Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Transl Med Año: 2019 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Ambiente / Aprendizaje Automático / Miopía Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Transl Med Año: 2019 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido