首页|Southern Medical University Reports Findings in Myopia (Association Between Myop ia and Pupil Diameter in Preschoolers: Evidence from a Machine Learning Approach Based on a Real-World Large-Scale Dataset)
Southern Medical University Reports Findings in Myopia (Association Between Myop ia and Pupil Diameter in Preschoolers: Evidence from a Machine Learning Approach Based on a Real-World Large-Scale Dataset)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Eye Diseases and Conditions - Myo pia is the subject of a report. According to news reporting from Shenzhen, Peopl e's Republic of China, by NewsRx journalists, research stated, "Previous studies have explored the connections between various ocular biological parameters with myopia. Our previous study also found that pupil data can predict the myopic pr ogression during the interventions for myopia." The news correspondents obtained a quote from the research from Southern Medical University, "However, studies exploring the association between pupil diameter and myopia in preschoolers with myopia were lacking. Hence this study was aimed to investigate the association between pupil diameter and myopia in preschoolers with myopia based on a real-world, large-scale dataset. Data containing 650,671 preschoolers were collected from a total of 1943 kindergartens in Shenzhen, Chi na. Refraction and pupil parameters were collected. After data filtering, the oc currence of myopia and its association with age, gender, pupil diameter, and oth er variables, were analyzed. Random forest (RF) and eXtreme gradient boosting (X GBoost) were selected from seven machine learning algorithms to build the model. The mean decrease accuracy (MDA), mean decrease Gini (MDG), and gain feature im portance (GFI) techniques were employed to quantify the importance of pupil diam eter and other features. After the assessments, 51,325 valid records with comple te pupil data were included, and 3468 (6.76%) were identified as my opia based on the calculated cycloplegic refraction. Preschoolers with myopia pr esented reduced pupil diameter and greater variation (5.00 ± 0.99 mm) compared t o non-myopic preschoolers (6.22 ± 0.67 mm). A nonlinear relationship was found a ccording to the scatterplots between pupil diameter and refraction (R = 0.14). E specially preschoolers with myopia had reduced pupil diameter compared to emmetr opic preschoolers, but hyperope did not experience additional pupil enlargement. After adjusting for other covariates, this relationship is still consistent (P <0.001). XGBoost and RF algorithms presented the highest p erformance and validated the importance of pupil diameter in myopia. Based on a real-world large-scale dataset, the current study illuminated that preschoolers with myopia had a reduced pupil diameter compared to emmetropic preschoolers wit h a nonlinear pattern."
ShenzhenPeople's Republic of ChinaAs iaAlgorithmsCyborgsEmerging TechnologiesEye Diseases and ConditionsHea lth and MedicineMachine LearningMyopiaOphthalmologyRefractive Errors
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