However, researchers still favor traditional approaches to obtain more interpretable models, such as Bayesian methods and decision trees when processing heterogeneous tabular data. Such models are ...

Individual risk factors should be considered in the decision for screening and prophylaxis of chronic and opportunistic infections and reassessed periodically An individualised approach has been ...

Using previous data, this paper uses five models of support vector machine, K-nearest neighbor, naive bayes, convolutional neural network and decision tree in machine learning algorithms to predict ...