Collaborative Filtering (CF) is the most widely used prediction technique in Recommendation System (RS). Most of the current CF recommender systems maintains single criteria user rating in user-item matrix. However, recent studies indicate that recommender system depending on multi-criteria can improve prediction and accuracy levels of recommendation by considering the user preferences in multi...

There is a broad spectrum of sleep disturbances observed in Parkinson's disease (PD). A variety of scales have been applied to the evaluation of PD sleep and wakefulness, but only a small number have been assessed specifically for clinimetric properties in the PD population. The movement disorder society has commissioned this task force to examine these scales and to assess their use in PD. A s...

BACKGROUND The objective of this study was to develop a rating tool for policy makers to prioritize breast cancer interventions in low- and middle- income countries (LMICs), based on a simple multi-criteria decision analysis (MCDA) approach. The definition and identification of criteria play a key role in MCDA, and our rating tool could be used as part of a broader priority setting exercise in ...

Methods: Explaining at first how the criteria for rating the different therapies were adopted obscures the main purpose of the paper. In stead, the info on collecting the data should be first and the principles of rating the therapy