Purpose:To assess the accuracy and robustness of the AI algorithm for detecting referable diabetic retinopathy (RDR), referable macular diseases (RMD), and glaucoma suspect (GCS) from fundus images in community and in-hospital screening scenarios.MethodsWe collected two color fundus image datasets, namely, PUMCH (556 images, 166 subjects, and four
Introduction: It is increasingly becoming integral to analyze the collected information effectively.Methods: We propose a representation and classification method for collective investor attention in the financial market, taking the Chinese stock market as an example.The method includes three key steps: 1) parcel protection converting the hourly se
At classical music concerts, a program note is the Dog Dummy Covers usual medium for communicating information about the music to be heard and performed.Although there may be crossover of information, the program note is distinct from the CD cover note, from notes contained within a musical score note, and from a composer’s directions for perform
Outliers in multivariate linear regression models can significantly distort parameter estimates, leading to biased results and reduced predictive accuracy.These outliers may occur in the dependent variable or both independent and dependent variables, resulting in large residual values that compromise model reliability.Addressing outliers is essenti
Outliers in multivariate linear regression models can significantly distort parameter estimates, leading to biased results and reduced predictive accuracy.These outliers may occur in the dependent variable or both independent and dependent variables, resulting in large residual values that compromise model reliability.Addressing outliers is essenti