Author: changzheng wang; Chengbin Li
Title: Preliminary study to identify severe from moderate cases of COVID-19 using NLR&RDW-SD combination parameter Document date: 2020_4_14
ID: jecsj3xw_16
Snippet: The combined parameters were analyzed using LDA. LDA is a supervised learning model, also known as Fisher's linear discriminant (FLD) [27] . The principle of LDA is: by multi-parameter linear combination, the high-dimensional pattern samples composed of multi-parameters are projected to the optimal discrimination vector space to achieve the effect of extracting classification information and compressing the feature space dimension. The new subspa.....
Document: The combined parameters were analyzed using LDA. LDA is a supervised learning model, also known as Fisher's linear discriminant (FLD) [27] . The principle of LDA is: by multi-parameter linear combination, the high-dimensional pattern samples composed of multi-parameters are projected to the optimal discrimination vector space to achieve the effect of extracting classification information and compressing the feature space dimension. The new subspace has the largest interclass distance and the smallest intra-class distance, that is, the pattern has the best separability in this space. Therefore, it is an effective feature extraction method.
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