rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Computational Medicine in Data Mining and Modeling
  name:
    name part: Rakocevic, Goran.
    role:
      role term: editor.
  name:
    name part: Djukic, Tijana.
    role:
      role term: editor.
  name:
    name part: Filipovic, Nenad.
    role:
      role term: editor.
  name:
    name part: Milutinović, Veljko.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 376 p. 171 illus., 128 illus. in color. online resource.
  abstract: 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.
  table of contents: Mining Clinical Data -- Applications of probabilistic and related logics to decision support in medicine -- Transforming electronic medical books to diagnostic decision support systems using relational database management systems -- Text mining in medicine -- A primer on information theory, with applications to neuroscience -- Machine Learning based Imputation of Missing SNP Genotypes in SNP Genotype Arrays -- Computer modeling of atherosclerosis -- Particle dynamics and design of nano-drug delivery systems -- Computational Modeling of Ultrasound Wave Propagation in Bone.
  note: edited by Goran Rakocevic, Tijana Djukic, Nenad Filipovic, Veljko Milutinović.
  subject:
    topic: Computer science
  subject:
    topic: Data mining
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer simulation
  subject:
    topic: Bioinformatics
  subject:
    topic: Computer Science
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Computational Biology/Bioinformatics
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Simulation and Modeling
  classification: QA76.9.D343
  classification: 006.312
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781461487852
  identifier: http://dx.doi.org/10.1007/978-1-4614-8785-2
  record info:
    record creation date: 131016
    record change date: 20150519181701.0
    record identifier: 978-1-4614-8785-2