CLASSIFICATION OF SKIN AUTOFLUORESCENCE SPECTRUM USING SUPPORT VECTOR MACHINE IN TYPE 2 DIABETES SCREENING - 源码 - 源码 - 免费下载

CLASSIFICATION OF SKIN AUTOFLUORESCENCE SPECTRUM USING SUPPORT VECTOR MACHINE IN TYPE 2 DIABETES SCREENING

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资源说明：Advanced glycation end products (AGEs) are a complex and heterogeneous group of compounds that have been implicated in diabetes related complifications. Skin autofluorescence was recently introduced as an alternative tool for skin AGEs accumulation assessment in diabetes. Successful optical diagnosis of diabetes requires a rapid and accurate classification algorithm. In order to improve the performance of noninvasive and optical diagnosis of type 2 diabetes, support vector machines (SVM) algorit

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