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Life Science Identifiers (LSIDs) offer an attractive solution to the problem of globally unique identifiers for digital objects in biology. However, I suggest that in the context of taxonomic names, the most compelling benefit of adopting these identifiers comes from…

Abstract.—Modeling approaches that relate known occurrences of species to landscape features to discover ecological properties and predict geographic occurrences have seen extensive recent application in ecology, systematics, and conservation. A key component in this process is estimation or characterization of…

Although BNs have been used successfully for many medical diagnosis problems, there have been few applications to epidemiological data where data mining methods play a significant role. In this paper, we look at the application of BNs to epidemiological data,…

Biodiversity conservation design, though difficult with fragmentary or insufficient biological data, can be planned and evaluated with several methods. One of them, the complementarity criterion, is commonly used nowadays to deal with the distribution of number of species (i.e., an…

Most of the literature on natural history is hidden in millions of pages stacked up in our libraries. Various initiatives aim now at making these publications digitally accessible and searchable, applying xml-mark up technologies. The unique biological names play a…

The low occurrence rate of adverse drug reactions makes it difficult to identify risk factors from a straightforward application of association pattern discovery in large databases. In this paper, we are interested in developing a data mining approach that can…

We set out to devise a method for analysis of chronic disease therapeutic decision making with specific emphasis on practice patterns across multiple consultations and providers within a single community-based practice. We examine treatment by abstracting each patient’s therapeutic state…

Data mining researchers have long been concerned with the application of tools to facilitate and improve data analysis on large, complex data sets. The current challenge is to make data mining and knowledge discovery systems applicable to a wider range…

The general behaviour of a medical practitioner can be assessed by metrics related to the services rendered. The values of these variables are inter-related and also related to the demographics of the practice. If there is a functional form that…