Login / Signup

Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: A retrospective, multicentre machine learning study.

Haotian LinErping LongXiaohu DingHongxing DiaoZicong ChenRunzhong LiuJialing HuangJingheng CaiShuangjuan XuXiayin ZhangDongni WangKexin ChenTongyong YuDongxuan WuXutu ZhaoZhenzhen LiuXiaohang WuYuzhen JiangXiao YangDongmei CuiWenyan LiuYingfeng ZhengLixia LuoHaibo WangChi-Chao ChanIan G MorganMingguang HeYizhi Liu
Published in: PLoS medicine (2018)
To our knowledge, this study, for the first time, used large-scale data collected from electronic health records to demonstrate the contribution of big data and machine learning approaches to improved prediction of myopia prognosis in Chinese school-aged children. This work provides evidence for transforming clinical practice, health policy-making, and precise individualised interventions regarding the practical control of school-aged myopia.
Keyphrases