… two new machine learning techniques such as SVM, RF and compare this against
knowledge-based commonly used multi-criteria decision analysis … In a recent study, …

… This work proposes a new approach by integrating statistical, machine learning, and multi-criteria
decision analysis, including artificial neural network (ANN), logistic regression (LR), …

… In this paper, three Multi-Criteria Decision-Making (MCDM) analysis techniques (VIKOR,
TOPSIS and SAW), along with two machine learning methods (NBT and NB), were tested for …

… personalised learning units. Personalised learning units evaluation methodology presented
in the paper is based on (1) well-known principles of Multiple Criteria Decision Analysis for …

… machine learning for solutions to the problem of obtaining useful insights, predictions, and
decisions … theory or numerical analysis, with the specific form of machine-learning problems (…

… Sensitivity analysis on the model parameters and missing data argue for a highly robust
decision … This work provides a solid basis for a scalable probabilistic clinical decision support …

… factors of machine learning design affecting the usefulness of decision support … of machine
learning and its use in decision support systems, we report the results of our content analysis …

… machine learning … analysis that rely on low-cost microphones and an embedded real-time
microprocessor system could help physicians to make faster and better diagnostic decisions, …

… The current review, with a focus on machine learning to support decision making at a practical
… gap that should be filled prior to using these models for patient-provider decision making. …

Machine-learning methods can assist with the medical decision-making processes at the
both the clinical and diagnostic levels. In this article, we first review historical milestones and …