Titlebook: Data Mining: Foundations and Intelligent Paradigms; Volume 3: Medical, H Dawn E. Holmes,Lakhmi C Jain Book 20121st edition Springer-Verlag

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Monique Lewis,Kate Holland,Eliza Govenderrine, urinary, integumentary and reproductive systems [1]. Science shows how complex systems interoperate and have even mapped the human genome. This knowledge resulted through the exploitation of significant volumes of empirical data. The size of medical databases are many orders of magnitude those

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https://doi.org/10.1007/978-3-031-41237-0ical data, which often contains time information. Temporal data mining aims at finding interesting correlations or sequential patterns in sets of temporal data and has recently been applied in the medical context. The purpose of this paper is to describe the most popular temporal data mining algorit

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Uncertainty and Coping During COVID-19 interact with each other to perform vital functions for the survival of an organism. Three main types of biological networks are protein interaction networks, metabolic pathways and regulatory networks. In this work, we focus on alignment of metabolic networks..We particularly focus on two algorith

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https://doi.org/10.1007/978-3-319-74669-2en little or no such effect can be observed statistically for one or even both of the genes individually. This is in contrast to Mendelian diseases like cystic fibrosis, which are associated with variation at a single genetic locus. This gene-gene interaction is called epistasis. To uncover this dar

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Cory Young,Aditi Rao,Alexis Rosamilianity of Internet forum users. We discuss issues involved in Internet forum data acquisition and processing, and we outline some of the challenges that need to be addressed. Then, we present a framework for analysis and mining of Internet forum data for social role discovery. Our framework consists o