Predicting Central Serous Chorioretinopathy Recurrence Using Machine Learning
Fabao Xu(Qilu Hospital of Shandong University), Haotian Lin(Sun Yat-sen University), Chuangxin Huang(Sun Yat-sen University), Daniel Shu Wei Ting(Singapore National Eye Center), Chong Guo(Sun Yat-sen University), Hongkun Zhao(Sun Yat-sen University), Lijun Zhou(Sun Yat-sen University), Xiayin Zhang(Singapore National Eye Center), Kunbei Lai(Sun Yat-sen University), Songjian Gong(Xiamen University), Yifan Xiang(Hebei University of Science and Technology), Chenjin Jin(Sun Yat-sen University), Lanqin Zhao(Sun Yat-sen University), Cong Li, Li Zhang(Zhejiang Provincial People's Hospital), Chuan Chen(Tianjin University of Traditional Chinese Medicine), Yi Zhu(Mayo Clinic in Arizona), Yajun Gong(Sun Yat-sen University), Cheng Wan(Nanjing University of Aeronautics and Astronautics), Longhui Li(Sun Yat-sen University), Qijing You(Nanjing University of Aeronautics and Astronautics), Zhongwen Li(Wenzhou Medical University)
Cited by 11
Related Papers
Global Prevalence of Diabetic Retinopathy and Projection of Burden through 2045
|Ophthalmology|2021|2.2k
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
|Nature Medicine|2022|636
Logistic regression was as good as machine learning for predicting major chronic diseases
|Journal of Clinical Epidemiology|2020|523
Deep learning in ophthalmology: The technical and clinical considerations
|Progress in Retinal and Eye Research|2019|509