Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

We used 3 machine learning algorithms: the deep neural network, random forest, and logistic regression. 3,6 The deep neural network comprises layers of interconnected artificial neurons. An artificial ...

This work investigates the performance of machine learning algorithms for a specific classification task. Support Vector Machine (SVM) and Logistic Regression (LR) were compared. The results indicate ...

Objectives This study aimed to employ machine learning algorithms to predict the ... Outcome measure Seven classification algorithms were used in this study: logistic regression, decision tree ...

Abstract: This paper proposes a hybrid multilogistic methodology, named logistic ... from well-known machine learning problems and two real agronomical problems. The results are compared with the ...

The non-feature-specific elevated responses may facilitate general processing of upcoming stimuli, whereas the feature-specific backward replay may underpin passive learning of visual ... a one-versus ...

This study aims to develop a model based on a machine learning algorithm ... model for PMI patients using ML algorithms. Previous studies, such as Liang et al. (26) and Xu et al. (27), primarily ...