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Applying big data analytics in bioin...

Papadopoulou, Paraskevi, (1961-)

Applying big data analytics in bioinformatics and medicine

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Applying big data analytics in bioinformatics and medicine/ Miltiadis D. Lytras and Paraskevi Papadopoulou, editors.
其他作者:	Papadopoulou, Paraskevi,
出版者:	Hershey, Pennsylvania :IGI Global, : [2018],
面頁冊數:	1 online resource (xxvi, 465 p.)
提要註:	"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.
標題:	Organizational Culture -
電子資源:	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:

224868
Organizational Culture

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.
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650 2 2 $2 96060 $a Medical Records Systems, Computerized $3 225957
650 1 2 $2 96060 $a Computational Biology $3 221264
650 1 2 $2 96060 $a Databases, Factual $3 220106
650 0 $2 96060 $a Computational biology. $3 253424
650 0 $2 96060 $a Bioinformatics. $3 219012
700 1 $a Papadopoulou, Paraskevi, $d 1961- $e editor. $3 433559
700 1 $a Lytras, Miltiadis D., $d 1973- $e editor. $3 433468
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2607-0

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