Book description
An essential guide to healthcare data problems, sources, and solutionsStrategies in Biomedical Data Science provides medical professionals with much-needed guidance toward managing the increasing deluge of healthcare data. Beginning with a look at our current top-down methodologies, this book demonstrates the ways in which both technological development and more effective use of current resources can better serve both patient and payer. The discussion explores the aggregation of disparate data sources, current analytics and toolsets, the growing necessity of smart bioinformatics, and more as data science and biomedical science grow increasingly intertwined. You'll dig into the unknown challenges that come along with every advance, and explore the ways in which healthcare data management and technology will inform medicine, politics, and research in the not-so-distant future. Real-world use cases and clear examples are featured throughout, and coverage of data sources, problems, and potential mitigations provides necessary insight for forward-looking healthcare professionals.
Big Data has been a topic of discussion for some time, with much attention focused on problems and management issues surrounding truly staggering amounts of data. This book offers a lifeline through the tsunami of healthcare data, to help the medical community turn their data management problem into a solution.
- Consider the data challenges personalized medicine entails
- Explore the available advanced analytic resources and tools
- Learn how bioinformatics as a service is quickly becoming reality
- Examine the future of IOT and the deluge of personal device data
The sheer amount of healthcare data being generated will only increase as both biomedical research and clinical practice trend toward individualized, patient-specific care. Strategies in Biomedical Data Science provides expert insight into the kind of robust data management that is becoming increasingly critical as healthcare evolves.
Table of contents
- Foreword
- Acknowledgments
- Introduction
- Chapter 1 Healthcare, History, and Heartbreak
- Chapter 2 Genome Sequencing
- Chapter 3 Data Management
-
Chapter 4 Designing a Data-Ready Network Infrastructure
- RESEARCH NETWORKS: A PRIMER
- ESNET AT 30: EVOLVING TOWARD EXASCALE AND RAISING EXPECTATIONS
- INTERNET2 INNOVATION PLATFORM
- ADVANCES IN NETWORKING
- INFINIBAND AND MICROSECOND LATENCY
- THE FUTURE OF HIGH-PERFORMANCE FABRICS
- NETWORK FUNCTION VIRTUALIZATION
- SOFTWARE-DEFINED NETWORKING
- OPENDAYLIGHT
- CONCLUSION
- NOTES
-
Chapter 5 Data-Intensive Compute Infrastructures
- BIG DATA APPLICATIONS IN HEALTH INFORMATICS
- SOURCES OF BIG DATA IN HEALTH INFORMATICS
- INFRASTRUCTURE FOR BIG DATA ANALYTICS
- FUNDAMENTAL SYSTEM PROPERTIES
- GPU-ACCELERATED COMPUTING AND BIOMEDICAL INFORMATICS
- CONCLUSION
- NOTES
- NOTES
- INTRODUCTION
- EVIS
- SCIENTIFIC COMPUTING
- VALIDATION
- MEDICAL DEVICE DEVELOPMENT
- CONCLUSION
- Note
- Chapter 6 Cloud Computing and Emerging Architectures
-
Chapter 7 Data Science
- NOSQL APPROACHES TO BIOMEDICAL DATA SCIENCE
- USING SPLUNK FOR DATA ANALYTICS
- STATISTICAL ANALYSIS OF GENOMIC DATA WITH HADOOP
- EXTRACTING AND TRANSFORMING GENOMIC DATA
- PROCESSING EQTL DATA
- GENERATING MASTER SNP FILES FOR CASES AND CONTROLS
- GENERATING GENE EXPRESSION FILES FOR CASES AND CONTROLS
- CLEANING RAW DATA USING MAPREDUCE
- TRANSPOSE DATA USING PYTHON
- STATISTICAL ANALYSIS USING SPARK
- HIVE TABLES WITH PARTITIONS
- CONCLUSION
- NOTES
- Appendix: A Brief Statistics PrimerContent Contributed by Daniel Peñnaherrera,July 13, 2016
- FOUNDATIONS
- POPULATION AND SAMPLE
- RANDOM VARIABLES
- EXPECTED VALUE AND VARIANCE
- REGRESSION ANALYSIS
- MULTIVARIATE LINEAR REGRESSION
- LOGISTIC REGRESSION
- Chapter 8 Next-Generation Cyberinfrastructures
- Conclusion
- Appendix A The Research Data Management Survey
- Appendix B Central IT and Research Support
- Appendix C HPC Working Example
- Appendix D HPC and Hadoop
- Appendix E Bioinformatics + Docker
- Glossary
- About the Author
- About the Contributors
- Index
- EULA
Product information
- Title: Strategies in Biomedical Data Science
- Author(s):
- Release date: January 2017
- Publisher(s): Wiley
- ISBN: 9781119232193
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