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10.1016/j.chemolab.2021.104256 http://scihub22266oqcxt.onion/10.1016/j.chemolab.2021.104256 33531722!7844388!33531722     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Chemometr+Intell+Lab+Syst 2021 ; 210 (ä): 104256 Nephropedia Template TP {{tp|p=33531722|t=2021. A novel Covid-19 and pneumonia classification method based on F-transform |pdf=|usr=}}{{33531722}} gab.com Text A novel Covid-19 and pneumonia classification method based on F-transform JO: Chemometr Intell Lab Syst http://www.kidney.de/pget.php?&tw=1&pmid=33531722 #FOAvip Nowadays, Covid-19 is the most important disease that affects daily life globally. Therefore, many methods are offered to fight against Covid-19. In this paper, a novel fuzzy tree classification approach was introduced for Covid-19 detection. Since Covid-19 disease is similar to pneumonia, three classes of data sets such as Covid-19, pneumonia, and normal chest x-ray images were employed in this study. A novel machine learning model, which is called the exemplar model, is presented by using this dataset. Firstly, fuzzy tree transformation is applied to each used chest image, and 15 images (3-level F-tree is constructed in this work) are obtained from a chest image. Then exemplar division is applied to these images. A multi-kernel local binary pattern (MKLBP) is applied to each exemplar and image to generate features. Most valuable features are selected using the iterative neighborhood component (INCA) feature selector. INCA selects the most distinctive 616 features, and these features are forwarded to 16 conventional classifiers in five groups. These groups are decision tree (DT), linear discriminant (LD), support vector machine (SVM), ensemble, and k-nearest neighbor (k-NN). The best-resulted classifier is Cubic SVM, and it achieved 97.01% classification accuracy for this dataset. Twit Text FOAVip A novel Covid-19 and pneumonia classification method based on F-transform ????Chemometr Intell Lab Syst http://www.kidney.de/pget.php?&tw=1&pmid=33531722 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33531722 #FOAvip English Wikipedia <ref>{{Cite pmid|33531722}}</ref> A novel Covid-19 and pneumonia classification method based on F-transform #MMPMID33531722 Tuncer T; Ozyurt F; Dogan S; Subasi A Chemometr Intell Lab Syst 2021[Mar]; 210 (ä): 104256 PMID33531722show ga Nowadays, Covid-19 is the most important disease that affects daily life globally. Therefore, many methods are offered to fight against Covid-19. In this paper, a novel fuzzy tree classification approach was introduced for Covid-19 detection. Since Covid-19 disease is similar to pneumonia, three classes of data sets such as Covid-19, pneumonia, and normal chest x-ray images were employed in this study. A novel machine learning model, which is called the exemplar model, is presented by using this dataset. Firstly, fuzzy tree transformation is applied to each used chest image, and 15 images (3-level F-tree is constructed in this work) are obtained from a chest image. Then exemplar division is applied to these images. A multi-kernel local binary pattern (MKLBP) is applied to each exemplar and image to generate features. Most valuable features are selected using the iterative neighborhood component (INCA) feature selector. INCA selects the most distinctive 616 features, and these features are forwarded to 16 conventional classifiers in five groups. These groups are decision tree (DT), linear discriminant (LD), support vector machine (SVM), ensemble, and k-nearest neighbor (k-NN). The best-resulted classifier is Cubic SVM, and it achieved 97.01% classification accuracy for this dataset. äA novel Covid-19 and pneumonia classification method based on F-transf(epmc).pdf DeepDyve Pubget Overpricing