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170631s2018 pau fob 001 0 eng d |
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|z 2017006764
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|z 9781522526070
|q hardcover
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|a 9781522526087
|q ebook
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|a 10.4018/978-1-5225-2607-0
|2 doi
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|a (CaBNVSL)slc19494572
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|a (DNLM)101700457
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|a (OCoLC)993181645
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|a CaBNVSL
|b eng
|e rda
|c CaBNVSL
|d CaBNVSL
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|a QH324.2
|b . 2018e
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|a W 26.55.I4
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|a 570.285
|2 23
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|a Applying big data analytics in bioinformatics and medicine /
|c Miltiadis D. Lytras and Paraskevi Papadopoulou, editors.
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|a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
|b IGI Global,
|c [2018]
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|a 22 PDFs (xxvi, 465 pages)
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|a text
|2 rdacontent
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|a electronic
|2 isbdmedia
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|a online resource
|2 rdacarrier
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|a Includes bibliographical references and index.
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|a Section 1. Introduction to bioinformatics in medicine and medical systems. Chapter 1. Bioinformatics as applied to medicine : challenges faced moving from big data to smart data to wise data ; Chapter 2. Bioinformatics : applications and implications ; Chapter 3. Protein structure prediction ; Chapter 4. Proteomics in personalized medicine : an evolution not a revolution ; Chapter 5. The much needed security and data reforms of cloud computing in medical data storage -- Section 2. Bioinformatics in the fields of genomics and proteomics as applied to medicine, health issues, and medical systems. Chapter 6. Informatics and data analytics to support exposome-based discovery : part 1, assessment of external and internal exposure ; Chapter 7. Informatics and data analytics to support exposome-based discovery : part 2, computational exposure biology ; Chapter 8. Transcriptomics to metabolomics : a network perspective for big data ; Chapter 9. Protein docking and drug design -- Section 3. Big data analytics for medical and health informatics. Chapter 10. Effective and efficient business intelligence dashboard design : gestalt theory in Dutch long-term and chronic healthcare ; Chapter 11. Role of online data from search engine and social media in healthcare informatics ; Chapter 12. An optimized semi-supervised learning approach for high dimensional medical datasets ; Chapter 13. Predicting patterns with hospital admission data ; Chapter 14. Selection of pathway markers for cancer using collaborative multi-swarm optimization ; Chapter 15. Applying Bayesian networks in the early diagnosis of bulimia and anorexia nervosa in adolescents ; Chapter 16. - Image processing including medical liver imaging.
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|a Restricted to subscribers or individual electronic text purchasers.
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|a "This book explores the latest developments in Bioinformatics and Health Informatics but to also put emphasis on increasing awareness of all stakeholders of the importance to move from a data management organizational culture to a learning organization culture. It explores the biological relevance of genomic and proteomic discoveries and related specific gene expression to achieve targeted therapy"--Provided by publisher.
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|a Also available in print.
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|a Mode of access: World Wide Web.
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|a Description based on title screen (IGI Global, viewed 06/31/2017).
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|a Bioinformatics.
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|a Computational biology.
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|a Databases, Factual
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|a Computational Biology
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|a Medical Records Systems, Computerized
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|a Organizational Culture
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|a Lytras, Miltiadis D.,
|d 1973-
|e editor.
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|a Papadopoulou, Paraskevi,
|d 1961-
|e editor.
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|a IGI Global,
|e publisher.
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|c (Original)
|w (DLC)2017006764
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|i Print version:
|z 1522526072
|z 9781522526070
|w (DLC) 2017006764
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856 |
4 |
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|z View fulltext via EzAccess
|u https://ezaccess.library.uitm.edu.my/login?url=http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2607-0
|