1 Electrocardiogram.- 2 EEG visualization and analysis techniques.- 3 Big health data mining.- 4 Computational infrastructure for tele-health.- 5 Identification and Functional Annotation of lncRNAs in human disease.- 6 Metabolomics characterization of human diseases.- 7 Metagenomics for Monitoring Environmental Biodiversity: Challenges, Progress, and Opportunities.- 8 Global nonlinearfitness function for protein structures.- 9 Clinical Assessment of Disease Risk Factors Using SNP Data and Bayesian Methods.- 10 Imaging genetics: information fusion and association techniques between biomedical images and genetic factors.
“It would be nice to enhance the examples presented throughout the book with a more detailed step-by-step guide for non-experts in the medical domain, including a reader-friendly analysis and interpretation of the results obtained along with a summary of lessons learned.” (Sergio Ilarri, Computing Reviews, April, 2018)
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