Titlebook: Data Mining in Biomedicine; Panos M. Pardalos,Vladimir L. Boginski,Alkis Vazac Book 2007 Springer-Verlag US 2007 Biomedicine.Clustering.ST

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https://doi.org/10.1057/9780230274020the absence of prior knowledge about the shape of the clusters, similarity measures for a clustering technique are hard to specify. In this work, we propose a framework that learns from the structure of the data. Learning is accomplished by applying the K-means algorithm multiple times with varying

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progestin

https://doi.org/10.1057/9780230274020hich are responsible for reactions that have occurred is one of the important problems of adverse drug reactions (ADR). In this chapter we consider the similarities of these two problems and analyze the usefulness of drug reaction relationships for the prediction of possible reactions that may occur

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https://doi.org/10.1057/9780230274020pleteness in medical data post substantial challenges for accurate classification. A . approach which is an improvement of the standard LSI method has been proposed for information retrieval and demonstrated improved performance over standard LSI approach. The key idea is that DLSI adapts to the uni

INCH

Alexander Leischnig,Anja Geigenmüllerve those problems, this chapter presents a text data mining method that uses both text categorization and text clustering for building concept hierarchies for MEDLINE citations. The approach we propose is a three-step data mining process for organizing MEDLINE database: (1) categorizations according

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Preisverhandlungen auf Commodity-Märktentween three types of idiopathic interstitial pneumonias (IIPs). The chapter demonstrates that LAD can distinguish different forms of IIPs with high accuracy It shows also that the patterns developed by LAD techniques provide additional information about outliers, redundant features, the relative sig

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Klaus-Peter Wiedmann,Dirk Ludewiges and classified by clinicians in the categories of probable Alzheimer, possible Alzheimer or vascular dementia pathologies. It will be shown that the diagnoses of dementia patients by this method is very accurate, and that the classification criteria can be transformed into suitable clinical facto

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Peter Billen,Tilmann Raff,Craig Thorrold. coli whole-genome gene expression profiles. The problem is how to classify these genes based on their behavior in response to changing pH of the growth medium and mutation of the acid tolerance response gene regulator GadX. In order to apply these techniques, first we have to label the genes. The

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Commodity Pricing: Fast, Simple, Intelligenteomic data. Such problems present great opportunities for application of mathematical programming techniques. We give an overview of formulations employed for the solution of problems in genomics and proteomics. In particular, we discuss mathematical programming formulations for string comparison an