Computational Medicine in Data Mining and Modeling (Record no. 52039)

000 -LEADER
fixed length control field 03570nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-1-4614-8785-2
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200420220223.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 131016s2013 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781461487852
-- 978-1-4614-8785-2
082 04 - CLASSIFICATION NUMBER
Call Number 006.312
245 10 - TITLE STATEMENT
Title Computational Medicine in Data Mining and Modeling
300 ## - PHYSICAL DESCRIPTION
Number of Pages X, 376 p. 171 illus., 128 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Rakocevic, Goran.
700 1# - AUTHOR 2
Author 2 Djukic, Tijana.
700 1# - AUTHOR 2
Author 2 Filipovic, Nenad.
700 1# - AUTHOR 2
Author 2 Milutinović, Veljko.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4614-8785-2
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- New York, NY :
-- Springer New York :
-- Imprint: Springer,
-- 2013.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data mining.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer simulation.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Bioinformatics.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Mining and Knowledge Discovery.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Biology/Bioinformatics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence (incl. Robotics).
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Simulation and Modeling.
912 ## -
-- ZDB-2-SCS

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