Computational Medicine in Data Mining and Modeling

  • Goran Rakocevic
  • Tijana Djukic
  • Nenad Filipovic
  • Veljko Milutinović

Table of contents

  1. Front Matter
    Pages i-x
  2. Argyris Kalogeratos, V. Chasanis, G. Rakocevic, A. Likas, Z. Babovic, M. Novakovic
    Pages 1-34
  3. Aleksandar Perović, Dragan Doder, Zoran Ognjanović
    Pages 35-77
  4. Milan Stosovic, Miodrag Raskovic, Zoran Ognjanovic, Zoran Markovic
    Pages 79-103
  5. Slavko Žitnik, Marko Bajec
    Pages 105-134
  6. Nenad Filipovic, Milos Radovic, Velibor Isailovic, Zarko Milosevic, Dalibor Nikolic, Igor Saveljic et al.
    Pages 233-308
  7. Vassiliki T. Potsika, Maria G. Vavva, Vasilios C. Protopappas, Demosthenes Polyzos, Dimitrios I. Fotiadis
    Pages 349-376

About this book


This book presents an overview of a variety of contemporary statistical, mathematical and computer science techniques which are used to further the knowledge in the medical domain. The authors focus on applying data mining to the medical domain, including mining the sets of clinical data typically found in patient’s medical records, image mining, medical mining, data mining and machine learning applied to generic genomic data and more. This work also introduces modeling behavior of cancer cells, multi-scale computational models and simulations of blood flow through vessels by using patient-specific models. The authors cover different imaging techniques used to generate patient-specific models. This is used in computational fluid dynamics software to analyze fluid flow. Case studies are provided at the end of each chapter. Professionals and researchers with quantitative backgrounds will find 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.


Biomedical Modeling Computation in Medicine Imaging Reconstruction Medical Data Mining Patient-Specific Simulations

Editors and affiliations

  • Goran Rakocevic
    • 1
  • Tijana Djukic
    • 2
  • Nenad Filipovic
    • 3
  • Veljko Milutinović
    • 4
  1. 1.Mathematical InstituteSerbian Academy of Science and ArtsBelgradeSerbia
  2. 2.Faculty of EngineeringUniversity of KragujevacKragujevacSerbia
  3. 3.Faculty of EngineeringUniversity of KragujevacKragujevacSerbia
  4. 4.School of Electrical EngineeringUniversity of BelgradeBelgradeSerbia

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4614-8784-5
  • Online ISBN 978-1-4614-8785-2
  • Buy this book on publisher's site
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