Details
| Title | Advances in bioinformatics and biomedical engineering book series. — Applying big data analytics in bioinformatics and medicine |
|---|---|
| Other creators | Lytras Miltiadis D., ; Papadopoulou Paraskevi |
| Collection | Электронные книги зарубежных издательств ; Общая коллекция |
| Subjects | Bioinformatics. ; Computational biology. ; Corporate culture. ; Databases, Factual ; Computational Biology ; Medical Records Systems, Computerized ; Organizational Culture ; Bio-informatique. ; Culture d'entreprise. ; NATURE — Reference. ; SCIENCE — Life Sciences — Biology. ; SCIENCE — Life Sciences — General. ; EBSCO eBooks |
| Document type | Other |
| File type | |
| Language | English |
| Rights | Доступ по паролю из сети Интернет (чтение, печать, копирование) |
| Record key | ocn988658662 |
| Record create date | 2/13/2017 |
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"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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- Title Page
- Copyright Page
- Book Series
- Table of Contents
- Detailed Table of Contents
- Preface
- Acknowledgment
- Section 1: Introduction to Bioinformatics in Medicine and Medical Systems
- Chapter 1: Bioinformatics as Applied to Medicine
- Chapter 2: Bioinformatics
- Chapter 3: Protein Structure Prediction
- Chapter 4: Proteomics in Personalized Medicine
- 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
- Chapter 7: Informatics and Data Analytics to Support Exposome-Based Discovery
- Chapter 8: Transcriptomics to Metabolomics
- 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
- 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 Datasets
- Chapter 13: Predicting Patterns in Hospital Admission Data
- Chapter 14: Selection of Pathway Markers for Cancer Using Collaborative Binary 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
- Compilation of References
- About the Contributors
- Index
