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AI Models and Independent Conclusions in Highlighted Studies.
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Proposed <t>multilayer</t> <t>perceptron</t> structure for predicting IDH.
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MathWorks Inc feedforward backpropagation multilayer perceptron
Proposed <t>multilayer</t> <t>perceptron</t> structure for predicting IDH.
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Image Search Results


AI Models and Independent Conclusions in Highlighted Studies.

Journal: Diagnostics

Article Title: Artificial Intelligence in the Diagnosis of Colorectal Cancer: A Literature Review

doi: 10.3390/diagnostics14050528

Figure Lengend Snippet: AI Models and Independent Conclusions in Highlighted Studies.

Article Snippet: A MATLAB multilayer perceptron ANN model with three layers was developed.

Techniques: Biomarker Discovery, Generated, Imaging, Diagnostic Assay, Sampling, Mutagenesis, Gene Expression, Staining, Methylation, DNA Methylation Assay, Plasmid Preparation

Proposed multilayer perceptron structure for predicting IDH.

Journal: Diagnostics

Article Title: Visual Indicator for Intradialytic Hypotension Prediction Using Variation and Compensation of Heart Rate

doi: 10.3390/diagnostics14232664

Figure Lengend Snippet: Proposed multilayer perceptron structure for predicting IDH.

Article Snippet: The proposed multilayer perceptron structure was designed using the Deep Learning Toolbox of MATLAB R2023b.

Techniques:

Confusion matrix of multilayer perceptron models according to the number of hidden layers: ( a ) Two layers (88.6%, 11.4%); ( b ) five layers (85.2%, 14.8%). Green cells on the main diagonal correspond to correctly classified observations, and red cells outside the main diagonal correspond to misclassified observations.

Journal: Diagnostics

Article Title: Visual Indicator for Intradialytic Hypotension Prediction Using Variation and Compensation of Heart Rate

doi: 10.3390/diagnostics14232664

Figure Lengend Snippet: Confusion matrix of multilayer perceptron models according to the number of hidden layers: ( a ) Two layers (88.6%, 11.4%); ( b ) five layers (85.2%, 14.8%). Green cells on the main diagonal correspond to correctly classified observations, and red cells outside the main diagonal correspond to misclassified observations.

Article Snippet: The proposed multilayer perceptron structure was designed using the Deep Learning Toolbox of MATLAB R2023b.

Techniques:

Performance of  multilayer perceptron  models according to the number of hidden layers.

Journal: Diagnostics

Article Title: Visual Indicator for Intradialytic Hypotension Prediction Using Variation and Compensation of Heart Rate

doi: 10.3390/diagnostics14232664

Figure Lengend Snippet: Performance of multilayer perceptron models according to the number of hidden layers.

Article Snippet: The proposed multilayer perceptron structure was designed using the Deep Learning Toolbox of MATLAB R2023b.

Techniques: