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ann and backpropagation neural network using
Ann And Backpropagation Neural Network Using, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/backpropagation+neural+network/pmc12274213-332-26-32
Average 90 stars, based on 1 article reviews
Ann And Backpropagation Neural Network Using, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/backpropagation+neural+network/pmc12274213-332-26-32
Average 90 stars, based on 1 article reviews
ann and backpropagation neural network using - by Bioz Stars,
2026-11
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![Exploratory analysis by PCA comparing COVID-19 patients (all severity groups; inclusive of all collected timepoints). ( a ) ANOVA test for each TCR vb family ( p < 0.05 is considered statistically significant [circled]). ( b ) PCA performed using the TCR vb families with p < 0.05. Clustering separation between the groups can be observed. ( c ) Key loadings (features) on PC1. ( d ) Key loadings on PC2. ( e ) Classification modelling using <t>backpropagation</t> artificial neural networks <t>(ANNs);</t> the model shows good separation for MA and IP critical, and lower performance is noted for IP severe followed by IP moderate (correct responses shaded in yellow).](https://pub-med-central-images-cdn.bioz.com/pub_med_central_ids_ending_with_7081/pmc11507081/pmc11507081__diagnostics-14-02330-g002.jpg)
![Exploratory analysis by PCA comparing COVID-19 IP severity groups (all timepoints). ( a ) ANOVA test for each TCR vb family ( p < 0.05 is considered statistically significant [circled]). ( b ) PCA performed using the TCR vb families with p < 0.05. Good clustering separation between the groups can be observed. ( c ) Key loadings (features) on PC1. ( d ) Classification modelling using backpropagation artificial neural networks (ANNs); good classification between IP severity groups can be obtained (correct responses shaded in yellow), thus, given the TCR VB family CD4+ percentage, the model can predict if the patient is moderate, severe, or critical. ( e ) ROC analysis curves; performance characteristics indicate outstanding discrimination for classification of moderate and critical disease IPs, and excellent discrimination for severe disease IPs, sensitivity (blue), specificity (red).](https://pub-med-central-images-cdn.bioz.com/pub_med_central_ids_ending_with_7081/pmc11507081/pmc11507081__diagnostics-14-02330-g003a.jpg)