Rodrigo A. Coelho

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When quality of life questionnaires are used as measures of treatment outcomes, it is essential to know how well these can respond to clinical changes. The objective of this study is to examine the responsiveness of the Brazilian–Portuguese version of the Oswestry Disability Index (ODI-Brazil) in subjects with chronic low back pain submitted to a physical(More)
Data clustering is one of the most popular techniques in data mining. It is a process of partitioning an unlabeled dataset into groups, where each group contains objects which are similar to each other with respect to a certain similarity measure and different from those of other groups. Clustering high-dimensional data is the cluster analysis of data which(More)
Number of defects remaining in a system provides an insight into the quality of the system. Defect detection systems predict defects by using software metrics and data mining techniques. Clustering analysis is adopted to build the software defect prediction models. Cluster ensembles have emerged as a prominent method for improving robustness, stability and(More)
OBJECTIVE To characterize the behavior of premature newborns in the first year of chronological age. METHODS This is a cross-sectional descriptive study, bound to a longitudinal study titled: "Comparison of visual behavior on the first quarter of year of life of premature nursling born at two maternities of Recife/PE." The sample was composed by 52(More)
There is a tremendous proliferation in the amount of information available on the largest shared information source, the World Wide Web. Due to its wide distribution, openness and highly dynamic data, the resources on the web are greatly scattered and they have no unified management and structure. Near about 90 % web data is unstructured and needed to be(More)
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