Group decision making in health care : A case study of multidisciplinary meetings
A comparison of machine learning algorithms for multilabel classification of CAN
Rule-based classifiers and meta classifiers for identification of cardiac autonomic neuropathy progression
Exploring novel features and decision rules to identify cardiovascular autonomic neuropathy using a hybrid of wrapper-filter based feature selection
Hybrid wrapper-filter approaches for input feature selection using maximum relevance and Artificial Neural Network Input Gain Measurement Approximation (ANNIGMA)
A classification algorithm that derives weighted sum scores for insight into disease
Group structured reasoning for coalescing group decisions
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