大葉大學圖書館 |

Applying big data analytics in bioinformatics and medicine[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	570.285
書名/作者:	Applying big data analytics in bioinformatics and medicine/ Miltiadis D. Lytras and Paraskevi Papadopoulou, editors.
其他作者:	Lytras, Miltiadis D.,
出版者:	Hershey, Pennsylvania : : IGI Global,, [2018]
面頁冊數:	1 online resource (xxvi, 465 p.)
標題:	Bioinformatics.
標題:	Computational biology.
標題:	Databases, Factual
標題:	Computational Biology
標題:	Medical Records Systems, Computerized - Congresses.
標題:	Organizational Culture
ISBN:	9781522526087 (ebook)
ISBN:	9781522526070 (hardcover)
書目註:	Includes bibliographical references and index.
內容註:	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.
摘要、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.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2607-0

Applying big data analytics in bioinformatics and medicine[electronic resource] /
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:

184439
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[electronic resource] /
LDR:03168nmm a2200289 a 4500 001 512518
003 IGIG
005 20181028092803.0
006 m o d
007 cr cn
008 210927s2018 pau fob 001 0 eng d
010 $z 2017006764
020 $a 9781522526087 (ebook)
020 $a 9781522526070 (hardcover)
035 $a (OCoLC)993181645
035 $a 1071025306
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
050 4 $a QH324.2 $b . 2018e
060 1 0 $a W 26.55.I4
082 0 4 $a 570.285 $2 23
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 184439
650 0 $a Computational biology. $3 428845
650 1 2 $a Databases, Factual $3 683305
650 1 2 $a Computational Biology $3 230202
650 2 2 $a Medical Records Systems, Computerized $v Congresses. $3 549559
650 2 2 $a Organizational Culture $3 683306
700 1 $a Lytras, Miltiadis D., $d 1973- $3 339858
700 1 $a Papadopoulou, Paraskevi, $d 1961- $3 683304
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2607-0