Applying Big Data Analytics in Bioinformatics and Medicine

✍ Scribed by Paraskevi Papadopoulou (editor)

Publisher: IGI Global
Year: 2017
Tongue: English
Leaves: 492
Series: Advances in Bioinformatics and Biomedical Engineering
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Many aspects of modern life have become personalized, yet healthcare practices have been lagging behind in this trend. It is now becoming more common to use big data analysis to improve current healthcare and medicinal systems, and offer better health services to all citizens.

Applying Big Data Analytics in Bioinformatics and Medicine is a comprehensive reference source that overviews the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to the healthcare field. Featuring coverage on relevant topics that include smart data, proteomics, medical data storage, and drug design, this publication is an ideal resource for medical professionals, healthcare practitioners, academicians, and researchers interested in the latest trends and techniques in personalized medicine.

✦ Table of Contents

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

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