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Applying big data analytics in bioin...

Lytras, Miltiadis D., (1973-)

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Applying big data analytics in bioinformatics and medicine

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applying big data analytics in bioinformatics and medicine/ Miltiadis D. Lytras and Paraskevi Papadopoulou, editors.
other author:	Lytras, Miltiadis D.,
Published:	Hershey, Pennsylvania :IGI Global, : [2018],
Description:	1 online resource (xxvi, 465 p.)
[NT 15003449]:	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.
Subject:	Bioinformatics. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2607-0
ISBN:	9781522526087 (ebook)

Applying big data analytics in bioinformatics and medicine
Applying big data analytics in bioinformatics and medicine[electronic resource] /Miltiadis D. Lytras and Paraskevi Papadopoulou, editors. - Hershey, Pennsylvania :IGI Global,[2018] - 1 online resource (xxvi, 465 p.)

Includes bibliographical references and index.

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.

Restricted to subscribers or individual electronic text purchasers.

"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.

ISBN: 9781522526087 (ebook)Subjects--Topical Terms:

553671
Bioinformatics.

LC Class. No.: QH324.2 / . 2018e

Dewey Class. No.: 570.285

National Library of Medicine Call No.: W 26.55.I4

Applying big data analytics in bioinformatics and medicine
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245 0 0 $a Applying big data analytics in bioinformatics and medicine $h [electronic resource] / $c Miltiadis D. Lytras and Paraskevi Papadopoulou, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2018]
300 $a 1 online resource (xxvi, 465 p.)
504 $a Includes bibliographical references and index.
505 0 $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.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $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.
650 0 $a Bioinformatics. $3 553671
650 0 $a Computational biology. $3 590653
650 1 2 $a Databases, Factual $3 3310956
650 1 2 $a Computational Biology $3 2449637
650 2 2 $a Medical Records Systems, Computerized $v Congresses. $3 2002754
650 2 2 $a Organizational Culture $3 3310957
700 1 $a Lytras, Miltiadis D., $d 1973- $e editor. $3 3310882
700 1 $a Papadopoulou, Paraskevi, $d 1961- $e editor. $3 3310955
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2607-0