TY - BOOK ID - 213511 TI - Data mining in biomedicine AU - Pardalos, P. M. AU - Boginski, Vladimir L. AU - Vazacopoulos, Alkis. PY - 2007 SN - 1281926663 9786611926663 038769319X 0387693181 1441943439 PB - New York, NY : Springer, DB - UniCat KW - Medicine KW - Biology KW - Data mining. KW - Data processing. KW - Algorithmic knowledge discovery KW - Factual data analysis KW - KDD (Information retrieval) KW - Knowledge discovery in data KW - Knowledge discovery in databases KW - Mining, Data KW - Database searching KW - Computers in medicine KW - Medicine. KW - Mathematics. KW - Biomedical engineering. KW - Statistics. KW - Biomedicine general. KW - Applications of Mathematics. KW - Operations Research, Management Science. KW - Biomedical Engineering and Bioengineering. KW - Statistics for Life Sciences, Medicine, Health Sciences. KW - Clinical engineering KW - Medical engineering KW - Bioengineering KW - Biophysics KW - Engineering KW - Math KW - Science KW - Clinical sciences KW - Medical profession KW - Human biology KW - Life sciences KW - Medical sciences KW - Pathology KW - Physicians KW - Statistical analysis KW - Statistical data KW - Statistical methods KW - Statistical science KW - Mathematics KW - Econometrics KW - Applied mathematics. KW - Engineering mathematics. KW - Operations research. KW - Management science. KW - Statistics . KW - Biomedicine, general. KW - Health Workforce KW - Operational analysis KW - Operational research KW - Industrial engineering KW - Management science KW - Research KW - System theory KW - Engineering analysis KW - Mathematical analysis KW - Quantitative business analysis KW - Management KW - Problem solving KW - Operations research KW - Statistical decision UR - https://www.unicat.be/uniCat?func=search&query=sysid:213511 AB - This volume presents an extensive collection of chapters covering various aspects of the exciting and important research area of data mining techniques in biomedicine. The topics include: - new approaches for the analysis of biomedical data, - applications of data mining techniques to real-life problems in medical practice, - comprehensive reviews of recent trends in the field. The book addresses the problems arising in fundamental areas of biomedical research, such as genomics, proteomics, protein characterization, and neuroscience. This volume would be of interest to scientists and practitio ER -