Titlebook: Computational Medicine in Data Mining and Modeling; Goran Rakocevic,Tijana Djukic,Veljko Milutinovi? Book 2013 Springer Science+Business M

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Transforming Electronic Medical Books to Diagnostic Decision Support Systems Using Relational Datab of findings’ when they prepare the text of a book. Maintenance and update of DDSS would be related to the new edition of the book. DDSS would be linked to the electronic text of the book and could be also linked to a local information system. In this way we believe that the proposed model of DDSS w

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Text Mining in Medicine,to work on biomedical data. We focus especially on methods from the fields of (1) information retrieval (indexing, searching, and retrieval of relevant documents given an input query), (2) information extraction (automatic extraction of structured data from unstructured sources with the main tasks o

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A Primer on Information Theory with Applications to Neuroscience,concepts of information and entropy (in the sense of Shannon), mutual information, and transfer entropy (sometimes also referred to as conditional mutual information). As these quantities cannot be computed for measured data in practice, we discuss estimation techniques for information-theoretic qua

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Computer Modeling of Atherosclerosis,ly, the main conclusions of the work performed are given, with connecting between modeling and experimental work. Matching of plaque location and progression in time between experimental and computer model shows a potential benefit for future prediction of this vascular decease using computer simula

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Book 2013d Computational Medicine in Data Mining and Modeling useful as a reference. Advanced-level students studying computer science, mathematics, statistics and biomedicine will also find this book valuable as a reference or secondary text book.

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Applications of Probabilistic and Related Logics to Decision Support in Medicine, an optimal path finding through a graph called Bayesian network, has been (and still is) successfully applied in so-called sequential diagnostics, when the large amount of reliable relevant data is available. The graph (network) represents our knowledge about connections between studied medical ent

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Transforming Electronic Medical Books to Diagnostic Decision Support Systems Using Relational Databext in major textbooks was performed, and basic structural forms were determined. Knowledge-based DDSS are proposed trying to adapt to the structure of the data and ‘natural’ logic of medical books. We propose a method for transforming a major textbook (with numerous editions) into a simple knowledg