Clustering-Based Ensemble Method as an Alternative to Stacking

One of the most popular techniques of generating classifier ensembles is known as stacking which is based on a meta-learning approach. In this paper, we introduce an alternative method to stacking which is based on cluster analysis. Similar to stacking, instances from a validation set are initially classified by all base classifiers. The output of each classifier is subsequently considered as a new attribute of the instance. Following this, a validation set is divided into clusters according to the new attributes and a small subset of the original attributes of the instances. For each cluster, we find its centroid and calculate its class label. The collection of centroids is considered as a meta-classifier. Experimental results show that the new method outperformed all benchmark methods, namely Majority Voting, Stacking J48, Stacking LR, AdaBoost J48, and Random Forest, in 12 out of 22 data sets. The proposed method has two advantageous properties: it is very robust to relatively small training sets and it can be applied in semi-supervised learning problems. We provide a theoretical investigation regarding the proposed method. This demonstrates that for the method to be successful, the base classifiers applied in the ensemble should have greater than 50% accuracy levels.

Novel methods of drug administration for the treatment and care of older patients

The number of older people globally is increasing, contributing to a growing burden of morbidity and mortality. With this shift in population demographic, comes a new challenge in terms of appropriate healthcare for the over 65 years age group. As medication is the principal therapeutic intervention, it is essential that it be fully optimised, to meet the needs of this heterogeneous population. The most common routes of drug administration are oral and injectable, which may display some limitations for older people, in cases of dysphagia or frailty for example. This review considers alternative methods of drug delivery to the norm, specifically discussing the nasal, pulmonary and transdermal routes, as well as novel orally disintegrating tablets. The changing physiology as ageing occurs must be considered in the development of novel drug delivery devices. This review considers the various aspects of ageing that will influence future drug formulation design and development.