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

With Great Power Comes Great Responsibility

(2017) Rohan Khera et al.   Circulation-Cardiovascular Quality and Outcomes

Predicting the Future — Big Data, Machine Learning, and Clinical Medicine

(2016) Ziad Obermeyer et al.   NEW ENGLAND JOURNAL OF MEDICINE

Real-World Evidence — What Is It and What Can It Tell Us?

(2016) Rachel E. Sherman et al.   NEW ENGLAND JOURNAL OF MEDICINE

Age of onset of myopia predicts risk of high myopia in later childhood in myopic Singapore children

(2016) Sharon Y. L. Chua et al.   OPHTHALMIC AND PHYSIOLOGICAL OPTICS

Five-Year Clinical Trial on Atropine for the Treatment of Myopia 2

(2016) Audrey Chia et al.   OPHTHALMOLOGY

Identifying Children at Risk of High Myopia Using Population Centile Curves of Refraction

(2016) Yanxian Chen et al.   PLoS One

Meta-analysis of gene–environment-wide association scans accounting for education level identifies additional loci for refractive error

(2016) Qiao Fan et al.   Nature Communications

Effect of Time Spent Outdoors at School on the Development of Myopia Among Children in China

(2015) Mingguang He et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

The myopia boom

(2015) Elie Dolgin   NATURE

Prediction of Juvenile-Onset Myopia

(2015) Karla Zadnik et al.   JAMA Ophthalmology

Genome-Wide Analysis Points to Roles for Extracellular Matrix Remodeling, the Visual Cycle, and Neuronal Development in Myopia

(2013) Amy K. Kiefer et al.   PLoS Genetics

Myopia

(2012) Ian G Morgan et al.   LANCET

Choroidal neovascularization in pathological myopia

(2012) Kumari Neelam et al.   PROGRESS IN RETINAL AND EYE RESEARCH

Variable Importance Assessment in Regression: Linear Regression versus Random Forest

(2009) Ulrike Grömping   AMERICAN STATISTICIAN