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.