https://www.selleckchem.com/products/r428.html
As part of this research, a comparative study of the state-of-the-art models of supervised learning is carried out. Moreover, the use of a Deep Convolutional Neural Network (ConvNet/CNN) is proposed for the detection of possible occupational risks. The data are processed to make them suitable for the CNN and the results are compared against a Static Neural Network (NN), Naive Bayes Classifier (N and Support Vector Machine (SVM), where the CNN had an accuracy of 92.05% in cross-validation.Diet and lifestyle interventions are the recommend
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