Applying big data analytics in bioinformatics and medicine

"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, proteomic."--[Source inconnue].

1. Bioinformatics as applied to medicine -- 2. Bioinformatics -- 3. Protein structure prediction -- 4. Proteomics in personalized medicine -- 5. The much needed security and data reforms of cloud computing in medical data storage -- 6. Informatics and data analytics to support exposome-based discovery. Part 1 -- 7. Informatics and data analytics to support exposome-based discovery. Part 2 -- 8. Transcriptomics to metabolomics -- 9. Protein docking and drug design -- 10. Effective and efficient business intelligence dashboard design -- 11. Role of online data from search engine and social media in healthcare informatics -- 12. An optimized semi-supervised learning approach for high dimensional datasets -- 13. Predicting patterns in hospital admission data -- 14. Selection of pathway markers for cancer using collaborative binary multi-swarm optimization -- 15. Applying Bayesian networks in the early diagnosis of bulimia and anorexia nervosa in adolescents -- 16. Image processing including medical liver imaging.