The dehiscence after median transesternal sternotomy used as surgical access for cardiac surgery is one of its complications and it increases the patient's morbidity and mortality. A variety of surgical techniques were recently described resulting to the need of a classification bringing a measure of objectivity to the management of these complex and dangerous wounds. The different related clas...

In this paper, we propose the post-classification scheme that is useful for improving weak-hypothesis combination of AdaBoost. The post-classification scheme allows the weak hypotheses to be combined nonlinearly, and can be shown to have a generally better performance than the original linear-combination approach in either theory or practice. The post-classification scheme provides a general pe...

We propose a method for annotating postto-post discourse structure in online user forum data, in the hopes of improving troubleshooting-oriented information access. We introduce the tasks of: (1) post classification, based on a novel dialogue act tag set; and (2) link classification. We also introduce three feature sets (structural features, post context features and semantic features) and expe...

Blog tags are usually considered to be supplementary information for blog post classification tasks. Due to the sparsity of tag features, improving performance of classifiers merely using tags is not a trivial operation. This paper presents a blog post classification approach based on the tag propagation strategy. Using a dataset of blog posts gleaned from the Internet, tags of a blog post are ...

Data mining classification models are developed and investigated in this paper. These adopted to develop redesign several business processes based on post-operative data. Post-operative data were collected used via the Waikato Environment for Knowledge Analysis (WEKA), investigate factors influencing patients’ admission after surgery compare DM models. The results reveal that each implemented t...